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A 3D Polygonal Line Chains Matching Method for Face Recognition

Xun Yu, Yongsheng Gao, Jun Zhou
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/awy6wv35krcgpf7qnuhrzax63i" style="color: black;">2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)</a> </i> &nbsp;
Experiments on FRGC v2 database leads to a rank one recognition rate of 96.1%. Keywords-3D polygonal line chains; 3D polygonal line segment Hausdorff distance; 3D Face Recognition. I.  ...  Different from traditional method that use points and meshes to represent and match 3D shapes, our method represents 3D surfaces using 3D polygonal line chains generated from ridge and valley curves.  ...  Therefore, they can be used for shape coding and recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/dicta.2013.6691471">doi:10.1109/dicta.2013.6691471</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/dicta/YuGZ13.html">dblp:conf/dicta/YuGZ13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c6zdgi5wa5dpbhysdpih7dwzjm">fatcat:c6zdgi5wa5dpbhysdpih7dwzjm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200505011610/https://research-repository.griffith.edu.au/bitstream/handle/10072/57262/91487_1.pdf;jsessionid=7E13FE39E3E8644A08D82EEF7344AC42?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/98/95/989510eb9312eae4561fcf82d49b42807ba655fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/dicta.2013.6691471"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Assessment of facial wrinkles as a soft biometrics

Nazre Batool, Sima Taheri, Rama Chellappa
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kpdlnoy5crhxtiv7j3acen4kje" style="color: black;">2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)</a> </i> &nbsp;
Several metrics based on Hausdorff distance and curve-to-curve correspondences are introduced to quantify the similarity.  ...  The recognition rate for these data sets using only the binary forehead wrinkle curve patterns exceeds 65% at rank 1 and 90% at rank 4.  ...  Sets of line segments were also used by Guerra and Pasucci [4] to recognize 3D objects using the Hausdorff distance between the line segment sets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fg.2013.6553719">doi:10.1109/fg.2013.6553719</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fgr/BatoolTC13.html">dblp:conf/fgr/BatoolTC13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pwxk6cu5gzf3dbvfid2kapx73i">fatcat:pwxk6cu5gzf3dbvfid2kapx73i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808133859/http://www.umiacs.umd.edu/~taheri/myHomepage/Publications_files/Wrinkle_FG13.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9f/20/9f20f528a82374c36c3908837e2cd86d1aefe7db.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fg.2013.6553719"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Emotional Recognition System Using Curve Fitting with Bezier Cubics

Yong-Hwan Lee, Yukong Lee, Je-Ho Park, Woori Han, Youngseop Kim
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/obo24evvtva3td65zmwrpepm5e" style="color: black;">2013 International Conference on Information Science and Applications (ICISA)</a> </i> &nbsp;
To evaluate the performance of the proposed scheme, we perform real implementation and experiment to verify the efficiency of emotional recognition with expressive facial database.  ...  These points for each curve form the adjacent curve segments. Hausdroff distance is calculated from the curve segments. Then, decision of facial emotion is chosen by measuring similarity in faces.  ...  distance to compare the shape metric between them.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icisa.2013.6579398">doi:10.1109/icisa.2013.6579398</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icisa/LeeLPHK13.html">dblp:conf/icisa/LeeLPHK13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pft5ejgzlndf3ek3kmt3xkm4qa">fatcat:pft5ejgzlndf3ek3kmt3xkm4qa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170818093847/https://www.computer.org/csdl/proceedings/icisa/2013/0602/00/06579398.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6e/ba/6eba7033de992f2080fbcd19fab38c81029b36da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icisa.2013.6579398"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Application of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition

Chau Dang-Nguyen
<span title="">2020</span> <i title="ASTES Journal"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5z5fhzfgard2vod5er2hdyuq54" style="color: black;">Advances in Science, Technology and Engineering Systems</a> </i> &nbsp;
Line Hausdorff distance (LHD) is a face recognition method, which uses weighted average HD for measuring the distance between two line edge maps of face images.  ...  Because MAX-MIN distance is sensitive with the outliers, in face recognition field, average Hausdorff distance is used for measuring the dissimilarity between two sets of features.  ...  The line segment Hausdorff distance (LHD), which is the average weighted of distances between two line segments, was proposed for face recognition.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25046/aj050466">doi:10.25046/aj050466</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ooxryp2opvfxrjrj2n67wpse7i">fatcat:ooxryp2opvfxrjrj2n67wpse7i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201106202253/http://www.astesj.com/publications/ASTESJ_050466.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f2/df/f2df915ff1a58c54e5fa33e70c03aa863a93dd8b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25046/aj050466"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

The Application of Contours Comparison Methods for Matching Segmented Point Clouds

Andrei Nikitin, Timur Mazitov
<span title="2018-09-15">2018</span> <i title="Technical University of Kosice, Faculty of Mechanical Engineering"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tiwgdstc5jetjngpxaphcjfbte" style="color: black;">Acta Mechanica Slovaca</a> </i> &nbsp;
Methods are considered on the basis of Euclidean distances, Hausdorff metrics, invariant moments and shape context.  ...  This paper is devoted to the application of methods for contours and shapes comparison of objects represented as two-dimensional point clouds obtained during segmentation of data from a laser scanning  ...  Shape Context The shape context method is used in the pattern recognition and proposed in [3] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21496/ams.2018.024">doi:10.21496/ams.2018.024</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hu6xntaeajgn5lok7uq4gwsuei">fatcat:hu6xntaeajgn5lok7uq4gwsuei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190430045619/http://www.actamechanica.sk/pdfs/ams/2018/03/06.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5e/78/5e78ffadc2fd6086743c4d190c37a15276ad592f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21496/ams.2018.024"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

COMPUTING THE HAUSDORFF DISTANCE BETWEEN CURVED OBJECTS

HELMUT ALT, LUDMILA SCHARF
<span title="">2008</span> <i title="World Scientific Pub Co Pte Lt"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zqzte2yzdrcbbm3r6t44cctd4u" style="color: black;">International journal of computational geometry and applications</a> </i> &nbsp;
The Hausdorff distance between two sets of curves is a measure for the similarity of these objects and therefore an interesting feature in shape recognition.  ...  If the curves are algebraic computing the Hausdorff distance involves computing the intersection points of the Voronoi edges of the one set with the curves in the other.  ...  For two polygonal chains or arbitrary sets of n line segments we can compute the Hausdorff distance also in time O(n log n) using the Voronoi diagram of line segments and a line sweep algorithm 1 .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218195908002647">doi:10.1142/s0218195908002647</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q2s262ittbbgvoaz6p6zv6emla">fatcat:q2s262ittbbgvoaz6p6zv6emla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190306232919/http://pdfs.semanticscholar.org/d736/845461079444a75b231c77c9cd5808824678.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d7/36/d736845461079444a75b231c77c9cd5808824678.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1142/s0218195908002647"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> worldscientific.com </button> </a>

Finger-vein image recognition combining modified Hausdorff distance with minutiae feature matching

Cheng-Bo Yu, Hua-Feng Qin, Yan-Zhe Cui, Xiao-Qian Hu
<span title="2009-11-14">2009</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4hvgoskn3rg55ig3fscmzdfpjm" style="color: black;">Interdisciplinary Sciences Computational Life Sciences</a> </i> &nbsp;
Finally, the modified Hausdorff distance algorithm is provided to evaluate the identification ability among all possible relative positions of the vein patterns shape.  ...  These feature points are used as a geometric representation of the vein patterns shape.  ...  Error rate curves for minutiae recognition using MHD (EER = 7% where the threshold is observed to be 0.41).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12539-009-0046-5">doi:10.1007/s12539-009-0046-5</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20640806">pmid:20640806</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t3i4r5zw4na3bauogyhfuz6xki">fatcat:t3i4r5zw4na3bauogyhfuz6xki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602172747/http://file.scirp.org/pdf/JBiSE20090400008_76029460.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/48/9d48d73af484afc5321977d4fa8850740ae18d77.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12539-009-0046-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching

Cheng-Bo Yu, Hua-Feng Qin, Lian Zhang, Yan-Zhe Cui
<span title="">2009</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ok4mzlk3yfcl5gpvlswfyknepa" style="color: black;">Journal of Biomedical Science and Engineering</a> </i> &nbsp;
Finally, the modified Hausdorff distance algorithm is provided to evaluate the identification ability among all possible relative positions of the vein patterns shape.  ...  These feature points are used as a geometric representation of the vein patterns shape.  ...  Error rate curves for minutiae recognition using MHD (EER = 7% where the threshold is observed to be 0.41).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jbise.2009.24040">doi:10.4236/jbise.2009.24040</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vq2yd343pvclxamkixtfmzhvgq">fatcat:vq2yd343pvclxamkixtfmzhvgq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602172747/http://file.scirp.org/pdf/JBiSE20090400008_76029460.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/48/9d48d73af484afc5321977d4fa8850740ae18d77.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jbise.2009.24040"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching

Yu
<span title="">2009</span> <i title="Scientific Research Publishing, Inc,"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ok4mzlk3yfcl5gpvlswfyknepa" style="color: black;">Journal of Biomedical Science and Engineering</a> </i> &nbsp;
Finally, the modified Hausdorff distance algorithm is provided to evaluate the identification ability among all possible relative positions of the vein patterns shape.  ...  These feature points are used as a geometric representation of the vein patterns shape.  ...  Error rate curves for minutiae recognition using MHD (EER = 7% where the threshold is observed to be 0.41).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jbise.2009">doi:10.4236/jbise.2009</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nax74nfoxbetfkmdnhssnoiu4u">fatcat:nax74nfoxbetfkmdnhssnoiu4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180602172747/http://file.scirp.org/pdf/JBiSE20090400008_76029460.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9d/48/9d48d73af484afc5321977d4fa8850740ae18d77.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4236/jbise.2009"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Geometric Invariant Curve and Surface Normalization [chapter]

Sait Sener, Mustafa Unel
<span title="">2006</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Proposed technique is verified with several 2D and 3D object matching and recognition experiments.  ...  In this work, a geometric invariant curve and surface normalization method is presented. Translation, scale and shear are normalized by Principal Component Analysis (PCA) whitening.  ...  Table 1 . 1 Hausdorff distances between normalized data curves 0.0518 0.3302 0.3764 0.3670 0.3711 0.3736 0.3347 Table 2 . 2 Recognition of partially occluded horses by Hausdorff distance Missing  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11867661_40">doi:10.1007/11867661_40</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6gfaxvkqn5dfpkn7evmhdunvda">fatcat:6gfaxvkqn5dfpkn7evmhdunvda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120714012241/http://people.sabanciuniv.edu/~munel/Publications/JournalPapers/A9-sener-unel-LNCS-4142-2006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/68/bc68ba5c603108eaa53a20fb1759a47a607987a6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11867661_40"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Overview of handcrafted features and deep learning models for leaf recognition

Şahin Işık, Department of Computer Engineering, Eskisehir Osmangazi University, Meselik Campus, 26480, Eskisehir, Turkey, Kemal Özkan, Department of Computer Engineering, Eskisehir Osmangazi University, Meselik Campus, 26480, Eskisehir, Turkey
<span title="2021-02-23">2021</span> <i title="Journal of Engineering Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bwux6bft5bg7nczd66yzc57txe" style="color: black;">Maǧallaẗ al-abḥāṯ al-handasiyyaẗ</a> </i> &nbsp;
After conducting experiments on the K-Nearest Neighbor (K-NN) with Hausdorff distance, this system provides valuable accuracy rate as achieving the 96.78% performance on Flavia and the 94.66% on Swedish  ...  In case of local features, only the curve points on Bézier curves are accepted as discriminative features.  ...  The objective of a curve fitting methodology is approximating the shape of the control polygon, which consists of some edge segments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36909/jer.v9i1.7737">doi:10.36909/jer.v9i1.7737</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/csuzcfp3dvhffeotgg4fkl7zbm">fatcat:csuzcfp3dvhffeotgg4fkl7zbm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427213338/https://kuwaitjournals.org/jer/index.php/JER/article/download/7737/1927" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/26/4326b22dc797a7cff5d65257427ded2a0b66cc00.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.36909/jer.v9i1.7737"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Robust pose invariant shape-based hand recognition

A. El-Sallam, F. Sohel, M. Bennamoun
<span title="">2011</span> <i title="IEEE"> 2011 6th IEEE Conference on Industrial Electronics and Applications </i> &nbsp;
The modified Hausdorff distance and independent component analysis (ICA) algorithms are used for shape and appearance analysis.  ...  A segmentation block presents robust and fully automatic algorithms which are able to accurately segment the hand's palm and fingers irrespective of colour contrast between the fosreground and background  ...  Modified Hausdorff Distance In order to compare different shape geometries the Hausdorff distance is a very efficient method.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iciea.2011.5975595">doi:10.1109/iciea.2011.5975595</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h7uayjxlmjet3l7qnbmqrjg7zm">fatcat:h7uayjxlmjet3l7qnbmqrjg7zm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170921205929/http://researchrepository.murdoch.edu.au/id/eprint/28508/1/robust_pose.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/01/fb011de10e27e683e9d62f4cd23371afb35bb0da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iciea.2011.5975595"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Multimodal biometric authentication based on the fusion of finger vein and finger geometry

Byung Jun Kang
<span title="2009-09-01">2009</span> <i title="SPIE-Intl Soc Optical Eng"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wbcw6rldbvdddg6we6vhk2vvfm" style="color: black;">Optical Engineering: The Journal of SPIE</a> </i> &nbsp;
Results show that recognition accuracy is significantly enhanced using the proposed method.  ...  We propose a new multimodal biometric recognition based on the fusion of finger vein and finger geometry. This research shows three novelties compared to previous works.  ...  Fig. 3 Fig. 4 34 Fig. 3 ROC curves ͑1͒. Table 1 1 The changes of modified Hausdorff distance and Euclidean distance of same user's data according to the shifting and rotation of finger.  ... 
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<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180718220156/https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-48/issue-9/090501/Multimodal-biometric-authentication-based-on-the-fusion-of-finger-vein/10.1117/1.3212651.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/17/5b/175bf851416998539f5b845d3d336023545d8bb6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/1.3212651"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Circular Arc Reconstruction of Digital Contours with Chosen Hausdorff Error [chapter]

Bertrand Kerautret, Jacques-Olivier Lachaud, Thanh Phuong Nguyen
<span title="">2011</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
From their curvature field, we introduce a new simple and efficient algorithm to approximate a digital shape with as few arcs as possible at a given scale, specified by a maximal admissible Hausdorff distance  ...  We address the problem of constructing an approximate continuous representation of a digital contour with guarantees on the Hausdorff error between the digital shape and its reconstruction.  ...  Introduction Digital curve representation or approximation by simple primitives is useful for further shape analysis (recognition, matching, etc).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-19867-0_21">doi:10.1007/978-3-642-19867-0_21</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hdahhhqu3rdn3inv5a7iytlhy4">fatcat:hdahhhqu3rdn3inv5a7iytlhy4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503140232/https://link.springer.com/content/pdf/10.1007%2F978-3-642-19867-0_21.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/3d/823d69cb875fc66e5bd2db9f846af81391781c56.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-19867-0_21"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Spatial shape error concealment utilising image texture

F. Sohel, M. Bennamoun, M. Hahn
<span title="">2011</span> <i title="IEEE"> 2011 6th IEEE Conference on Industrial Electronics and Applications </i> &nbsp;
Iterative closest point, independent component analysis and the modified Hausdorff distance algorithms are used to establish the corresponding image to the shape.  ...  This paper presents a novel shape error concealment technique utilising image texture (SECI) that investigates image matching techniques based on partial-shapes and use the obtained image for error concealment  ...  The first scheme is based on a distance measure between the contours in the shape and image. The modified Hausdorff distance method is used for this purpose.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iciea.2011.5975592">doi:10.1109/iciea.2011.5975592</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7wshadzxnrcyljqnw5pqjk4xu4">fatcat:7wshadzxnrcyljqnw5pqjk4xu4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922051026/http://researchrepository.murdoch.edu.au/id/eprint/28506/1/spatial_shape_error.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/77/cd77e31871d5a18ca5e756cf1cbdd433d7ee81bd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iciea.2011.5975592"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>
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