Filters








14 Hits in 9.6 sec

Handwriting Recognition using Deep Learning based Convolutional Neural Network

<span title="2019-11-30">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
The proposed method has shown 99% for handwritten English numerals and promising recognition accuracy for Kannada numerals.  ...  This paper focuses on exploring convolutional neural networks (CNN) which is deep learning based for the recognition of handwritten script.  ...  ., [3] proposed a system for the recognition of Kannada Numerals. Authors implemented the CNN and Deep Belief network (DBN) and achieved accuracy of 97.76% for CNN and 98.14% for DBN.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7811.118419">doi:10.35940/ijrte.d7811.118419</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hm7mrih6yrgmhb6tdfmmj5qpzi">fatcat:hm7mrih6yrgmhb6tdfmmj5qpzi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191219035030/https://www.ijrte.org/wp-content/uploads/papers/v8i4/D7811118419.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/cb/fbcb440b07e5357283fb8a01d7f59f99d37cdadb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7811.118419"> <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>

Recognition of Online Handwritten Isolated Kannada Characters using PCA and DTW

<span title="2019-11-30">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sfifsouvjgadp4gfj54u3z2ku" style="color: black;">International journal of recent technology and engineering</a> </i> &nbsp;
This paper focuses on exploring performance of Principal Component Analysis (PCA) and Dynamic Time Wrapping (DTW) approaches for recognizing online handwritten isolated Kannada characters.  ...  Human beings communicating with computers through handwritten input would be the best and easiest way of exchanging the information.  ...  RELATED WORK Anirudh Ganesh et al., [1] proposed Kannada handwritten numerals recognition system. Authors implemented the system by considering Chars74 K dataset using deep learning technique.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7810.118419">doi:10.35940/ijrte.d7810.118419</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lnilbbvc7zc75e735wsbzxsx6m">fatcat:lnilbbvc7zc75e735wsbzxsx6m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191225013540/https://www.ijrte.org/wp-content/uploads/papers/v8i4/D7810118419.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/7a/15/7a154ba1672299ce4c25efd47c1b7faccb443112.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijrte.d7810.118419"> <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>

Improved Model Configuration Strategies for Kannada Handwritten Numeral Recognition

Gopal Dadarao Upadhye, Uday V. Kulkarni, Deepak T. Mane
<span title="2021-12-15">2021</span> <i title="Slovenian Society for Stereology and Quantitative Image Analysis"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3sdgkbxhvbbrzegutwnwbzczau" style="color: black;">Image Analysis and Stereology</a> </i> &nbsp;
Handwritten numeral recognition has been an important area in the domain of pattern classification. The task becomes even more daunting when working with non-Roman numerals.  ...  The proposed setup is trained on varying handwritten Kannada numerals. The proposed approaches are evaluated on two different datasets: a standard Dig-MNIST dataset and a custom-built dataset.  ...  ., 2013) Dhandra et al. made use of zoning to derive features for subsequent recognition of both handwritten and print numerals, and also vowels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5566/ias.2586">doi:10.5566/ias.2586</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b3mpwipqanhshczq7otcv7ouli">fatcat:b3mpwipqanhshczq7otcv7ouli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220116230916/https://www.ias-iss.org/ojs/IAS/article/download/2586/1156" 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/a7/92/a79268d3ec32900721765de605fcb7a306b32f6b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5566/ias.2586"> <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>

KanOCR: Conversion of Printed Kannada Document to Editable form using Convolutional Neural Networks

Pradyumna Mukunda, Niraj S., Mamatha H.
<span title="2020-02-17">2020</span> <i title="Foundation of Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b637noqf3vhmhjevdfk3h5pdsu" style="color: black;">International Journal of Computer Applications</a> </i> &nbsp;
Characters can be extracted from the documents using various Segmentation methods. The vattaksharas are extracted/differentiated from the words by using base-line technique.  ...  In the above method, CNN plays a pivotal role in reading the character and comparing it with the Unicode look up table values to print the output. This system has been tested with varying fonts.  ...  A method of identifying Kannada characters by zoning, feature extraction using Hu's moments, HPP and VPP, followed by a PNN classifier is described in [7] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020919885">doi:10.5120/ijca2020919885</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6mld4hbggjgezh5kf6ioidmyha">fatcat:6mld4hbggjgezh5kf6ioidmyha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220309105203/https://www.ijcaonline.org/archives/volume177/number37/mukunda-2020-ijca-919885.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/38/e4/38e410f2b9090060acc0893c29f9d23f658d96ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijca2020919885"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

HCR-Net: A deep learning based script independent handwritten character recognition network [article]

Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma
<span title="2022-04-14">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Despite being studied extensively for a few decades, handwritten character recognition (HCR) is considered a challenging learning problem in pattern recognition and there is very limited research on script  ...  In this paper, we have proposed a novel deep learning architecture which exploits transfer learning and image-augmentation for end-to-end learning for script independent handwritten character recognition  ...  Tasnuva Hassan and Haider Adnan Khan. Handwritten bangla numeral recognition using local binary pattern.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.06663v2">arXiv:2108.06663v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mxq6psh6gjf6xp74rr5ozegyki">fatcat:mxq6psh6gjf6xp74rr5ozegyki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210824185126/https://arxiv.org/pdf/2108.06663v1.pdf" title="fulltext PDF download [not primary version]" 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] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/3d/823d90ce188635de3d56b92b773705fe070dacdb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2108.06663v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features

Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vui6j5722zev3lcb7xtzdug5nq" style="color: black;">Machine Learning with Applications</a> </i> &nbsp;
The existing study and first ever attempt for online handwritten Gurmukhi word recognition has relied upon the widely used hidden Markov model.  ...  The present study provided benchmark results for online handwritten Gurmukhi word recognition using deep learning architecture convolutional neural network, and obtained above 97% recognition accuracy  ...  Gohel et al. (2015) proposed a low level stroke feature based technique for recognition of online handwritten numerals and characters in Gujarati script, where they used -NN classifier for recognition  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.mlwa.2021.100037">doi:10.1016/j.mlwa.2021.100037</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ohu2dktiifft3lyecf6g3yuauu">fatcat:ohu2dktiifft3lyecf6g3yuauu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527043211/https://pdf.sciencedirectassets.com/777839/1-s2.0-S2666827021X00035/1-s2.0-S2666827021000189/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJT%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIQCJ0Bo8k8zkT6MCrApq%2BITOZLYPqr08HO4hvHiCnJ9B8AIga1mszbd%2BGc5DFPbeV0WOUEOfOZpncaB83%2F%2BwXTvJFI4q%2BgMIPBADGgwwNTkwMDM1NDY4NjUiDKU0%2FsUuT5MzTf0sdSrXA%2FJaYwFwTuYpnWiMFaBF%2B%2Fr6L0mU8CaDo0Ld5zmv6g2yEJKoWB2aGDqQ40sVju0DZSOp0vj6uS8jQYnFW9qXAWFjlXHdbfPaUxe2VLKEwW0eLxmdOqKkbTUo7au1cR5B0x8As0LqD4lv%2FdZNuOxQHxBxxaGfa%2B40dObG6DzgWB9HjH1gRqjYgMd3yFXztQbVmJBqw10TglQyrDmYvqP9CpNddFKTLDO70D%2B4lS3Z%2BOgg%2BSuuJzP6dEFrU14eZK%2FQ7CJw79PtFSHZ3dRxG8VL1r7WfgSeF6SKuvm3xZeZsBN83%2FwyhzVdYaihcaSQIb9eyPfYmN9mpowbzJyLg%2FyOUCOz%2FiSnwgesq2a9vFvh6NrW1Y0xOYVa%2B%2FiDVuwYPD2ipfec5%2B30DGO%2FRvFyzn8%2BoUn2Ll1EvR39kJ55W2cpY5NReecsiyTI5mY6faLPAHT%2BJbZ9CECywEbYccq02csdJ3sKcekBGCJrXQDKx9dKTIUUV9Rtix3JJAEr0dQiJJ1RkVJA%2FyK%2F%2Bzeg0QMM1Ixq1ty28gW3gUL4CkUSDpM87TcM4ot2GANIYbqxlfqpKlDw%2FSRXyCWK%2FQyAziF4cjhHXStqcMsWWwPGmVd79x2XxYb%2Fv0AFZa651jDombyFBjqlAbMI%2BCL8FNnb4vgpFDgwA%2BAPgPSCGuWAvjy%2BxRhefulrpqT3ozaRyeJpLEH%2FgTDDI66ZpY91kBB7EC3ABBDcM1XunDl1Jwg5k%2BGvGsosAzXYqenA6ThuNZLe%2B9CK6SYSRLUdIomN%2FTJH%2BMQbHS8g2iX%2FPqivDuCVJ5dZx%2BX4CbvltyC6TOyeU0OjggGifzCaxOMbeY5r0odKIBg%2BPQl1sTGvzFSR2A%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210527T043206Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYROXC267Z%2F20210527%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=b5da86eeda26e7e903c6cd7a74696b115469be215177bb2f2d04eb49507ff2fe&amp;hash=9f80813f7fd8f1958b97b4faa12f5d0c832c4175d3f5d05fa78d21907546f9ff&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S2666827021000189&amp;tid=spdf-0458a632-c2ff-40fb-a8fb-b80cee624d15&amp;sid=db3c8c416cd9a147339b8a1544443fd83064gxrqa&amp;type=client" 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/63/74/637414de33462c47f9598f6e79cc26abef148cd9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.mlwa.2021.100037"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR) [article]

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan
<span title="2020-01-01">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
We followed widely used electronic databases by following pre-defined review protocol.  ...  The objective of this review paper is to summarize research that has been conducted on character recognition of handwritten documents and to provide research directions.  ...  This model improves on average recognition speed by 8 times. Liu et al. [66] presented results of handwritten Bangla and Farsi numeral recognition on binary and gray scale images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.00139v1">arXiv:2001.00139v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3rdutz35besxfxf7suozt7r2u">fatcat:p3rdutz35besxfxf7suozt7r2u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321022307/https://arxiv.org/pdf/2001.00139v1.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] </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.00139v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

An efficient and improved scheme for handwritten digit recognition based on convolutional neural network

Saqib Ali, Zeeshan Shaukat, Muhammad Azeem, Zareen Sakhawat, Tariq Mahmood, Khalil ur Rehman
<span title="2019-08-31">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wxtpc7l3qzds3ojx4uwv4dvlr4" style="color: black;">SN Applied Sciences</a> </i> &nbsp;
Primarily, two steps including character recognition and feature extraction are required based on some classification algorithm for handwritten digit recognition.  ...  The aim of the proposed endeavor was to make the path toward digitalization clearer by providing high accuracy and faster computational for recognizing the handwritten digits.  ...  Recently, recognition of handwritten digits using CNN as classifier is entering into new research zone due to diverse applications in deep learning field [9] [10] [11] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-019-1161-5">doi:10.1007/s42452-019-1161-5</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ocnlecjpi5g6nnjzushylnot7q">fatcat:ocnlecjpi5g6nnjzushylnot7q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200326120556/https://link.springer.com/content/pdf/10.1007%2Fs42452-019-1161-5.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/0f/13/0f1330f7dc39a2b3917e2d30a84082df122f0f8a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s42452-019-1161-5"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Word Spotting in Handwritten Document Images based on Multiple Features

<span title="2019-10-10">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
Multiple features are derived using Gabor, Histogram oriented gradient (HOG), Local binary pattern, texture filters and Morphological filters.  ...  This paper presents word spotting in handwritten documents based on multiple features.  ...  Therefore, we motivated and proposed a method which presents an effective way for word spotting in Kannada handwritten documents using zone-based textural features. III.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.l2625.1081219">doi:10.35940/ijitee.l2625.1081219</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4emotzrca5cuxfhjwb4kls7ny4">fatcat:4emotzrca5cuxfhjwb4kls7ny4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220308075542/https://www.ijitee.org/wp-content/uploads/papers/v8i12/L26251081219.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/ee/4c/ee4cc088b1943fb13d7b0f6deb0e648aeca84078.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.l2625.1081219"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Online handwritten Gurmukhi word recognition using fine-tuned Deep Convolutional Neural Network on offline features

Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan, Apollo-University Of Cambridge Repository
<span title="2021-08-20">2021</span>
The existing study and first ever attempt for online handwritten Gurmukhi word recognition has relied upon the widely used hidden Markov model.  ...  The present study provided benchmark results for online handwritten Gurmukhi word recognition using deep learning architecture convolutional neural network, and obtained above 97% recognition accuracy  ...  Gohel et al. (2015) proposed a low level stroke feature based technique for recognition of online handwritten numerals and characters in Gujarati script, where they used -NN classifier for recognition  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17863/cam.74455">doi:10.17863/cam.74455</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vlbwnfbzejby5jbcxdkvshj5zm">fatcat:vlbwnfbzejby5jbcxdkvshj5zm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211009054141/https://www.repository.cam.ac.uk/bitstream/handle/1810/327004/1-s2.0-S2666827021000189-main.pdf;jsessionid=78081A027EF319F61E1667A07402A4DF?sequence=2" 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/fc/f7/fcf7c4f7a3442ed88523b6ca6103dbe7d1e0d2a5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.17863/cam.74455"> <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>

Review on Offline Odia Character Recognition

Deepika Tigga, Sagarika Mishra, C Panda
<span title="">2017</span> <i > 24 | International Journal of Computer Systems, </i> &nbsp; <span class="release-stage">unpublished</span>
Section I includes introduction of character recognition, odia script and its steps are explained including some features of odia script.  ...  Character recognition is a fundamental and challenging field of pattern recognition, machine learning and digital image processing.  ...  Two important sub-stages of recognition are feature extraction and classification [14] . 5. Classification:-It uses the feature extracted in previous stage as input to the classifier.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ccqu5skxmrh6pfafy7bqsiepiu">fatcat:ccqu5skxmrh6pfafy7bqsiepiu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180409230047/http://www.ijcsonline.com/IJCS/Vol04_Issue02/Review_on_Offline_Odia_Character_Recognition.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/1a/23/1a23f3dd78af7296a8e700bcfc0cad518aa032da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Recognizing ancient Sinhala Inscription Characters using Neural Network Technologies

K Karunarathne, K Liyanage, D Ruwanmini, G Dias, S Nandasara
<span title="">2017</span> <i > International Journal of Scientific Engineering and Applied Science (IJSEAS) </i> &nbsp; <span class="release-stage">unpublished</span>
This research involves in developing an application with Optical Character Recognition (OCR) functionality to recognize ancient Sinhala inscription.  ...  Currently, this is done by the archaeology experts with a huge effort. The inefficiency of this manual procedure will negatively impact on the future research in field of archaeology.  ...  [19] CNN Learning algorithm requires feedback. This is done by using a validation set where the CNN would make predictions and compare them with the true class labels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dhonbihghnco3nzullzvgtapxa">fatcat:dhonbihghnco3nzullzvgtapxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180423233307/http://ijseas.com/volume3/v3i1/ijseas20170104.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/f0/96/f096aea542a04c0cedc084c073bf72398abd7722.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

Towards Multi-modal Sclera and Iris Biometric Recognition with Adaptive Liveness Detection

Abhijit Das, University, My, Michael Blumenstein
<span title="2018-03-08">2018</span>
Therefore, due to the aforementioned research problems, this thesis addresses advancements in multimodal ocular biometrics using iris and sclera and also investigates the trade-off between robustness/adaptability  ...  Security breaches due to misidentification of an individual pose one of the greatest threats and challenges for today's world. The use of biometrics can be quite promising in minimising this threat.  ...  For classification the K-nearest neighbour classifier was used by both participants. A satisfactory recognition accuracy was achieved by the systems on MASD dataset.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25904/1912/2705">doi:10.25904/1912/2705</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qb7kk42di5frjnoyfmvt3vxdsu">fatcat:qb7kk42di5frjnoyfmvt3vxdsu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200725013504/https://research-repository.griffith.edu.au/bitstream/handle/10072/370828/Das,%20Abhijit_Final%20Thesis_Redacted.pdf;jsessionid=0B2E1441250348158C6936598B95EF24?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/55/46/554607715eee75e9833d04bbc6727d904ee98d10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.25904/1912/2705"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

OASIcs, Volume 70, LDK'19, Complete Volume [article]

Maria Eskevich, Gerard de Melo, Christian Fäth, John P. McCrae, Paul Buitelaar, Christian Chiarcos, Bettina Klimek, Milan Dojchinovski
<span title="2019-06-05">2019</span>
Acknowledgements We gratefully acknowledge the support of NVIDIA Corporation through a donation of GPUs that were used for this research.  ...  While the fixed factors explained about 14% of the variance in the math score, the majority of the variance (∼30%) was explained by the random factor of participant.  ...  Finally, the stance recognition model differentiates between support and attack relations using a SVM classifier with lexical, sentiment, syntactic and structural features (similar to the features used  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4230/oasics.ldk.2019">doi:10.4230/oasics.ldk.2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gdzvkfimsrd27jq6xuon4vafn4">fatcat:gdzvkfimsrd27jq6xuon4vafn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200601191311/https://drops.dagstuhl.de/opus/volltexte/2019/10504/pdf/oasics-vol070-ldk2019-complete.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4230/oasics.ldk.2019"> <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>