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Performance Measurement and Method Analysis (PMMA) for Fingerprint Reconstruction [article]

Josphineleela Ramakrishnan, Ramakrishnan Malaisamy
2012 arXiv   pre-print
Because of their uniqueness and consistency over time, fingerprints have been used for identification over a century, more recently becoming automated due to advancements in computed capabilities.  ...  The paper gives an overview of different methods and performance measurement of the fingerprint reconstruction.  ...  He is a guide for research scholars in many universities .His area of interest is Parallel Computing, Image Processing, Web Services and Network Security.  ... 
arXiv:1208.1670v1 fatcat:fzs4i46q4nfcvexuzgagqvz3yu

Fingerprint Classification using Entropy Sensitive Tracing [chapter]

Preda Mihăilescu, Krzysztof Mieloch, Axel Munk
2008 Mathematics in Industry  
As mentioned in the previous section, the total orientation change Φ t (.) and the maximal orientation change Φ m (.) of a characteristic line are a good distinctive measure for classifying fingerprints  ...  Conclusions We presented a new approach to fingerprint classification, which uses ridge data extracted by means of entropy sensitive tracing [12] .  ... 
doi:10.1007/978-3-540-71992-2_163 fatcat:fwyjftoqpbetbolilxnsv75efy

An Effective Fingerprint Classification and Search Method [article]

Monowar H. Bhuyan, D. K. Bhattacharyya
2012 arXiv   pre-print
This paper also presents a query based faster fingerprint search method over the clustered fingerprint databases.  ...  This paper presents an effective fingerprint classification method designed based on a hierarchical agglomerative clustering technique.  ...  Acknowledgment This work is a part of a research project and authors are thankful to AICTE for funding the project.  ... 
arXiv:1211.4503v1 fatcat:ghj6yyy6xnbnbcrqajcznq6clm

An Effective Method for Fingerprint Classification [article]

Monowar H. Bhuyan, Sarat Saharia, Dhruba Kr Bhattacharyya
2012 arXiv   pre-print
This paper presents an effective method for fingerprint classification using data mining approach.  ...  Initially, it generates a numeric code sequence for each fingerprint image based on the ridge flow patterns. Then for each class, a seed is selected by using a frequent itemsets generation technique.  ...  Acknowledgement This work is a part of a research project and authors are thankful to AICTE for funding the project.  ... 
arXiv:1211.4658v1 fatcat:ctq2rumxxrg27glmkkjujwwfcu

Segmentation of Latent Fingerprint using Neural Network

2019 International Journal of Engineering and Advanced Technology  
In this paper, a fusion of morphological and neural network approach is purposed for latent fingerprint segmentation.  ...  This method automatically segments the fingerprints and non-fingerprints patterns without human intervention. The morphological method is used for segmentation of the fingerprint region.  ...  CONCLUSIONS AND FUTURE WORK We have proposed a new model that is a fusion of morphological and neural network approaches for latent fingerprint segmentation.  ... 
doi:10.35940/ijeat.a9820.109119 fatcat:ad62ez5fsvcfznxtqwkvfwygla

Fingerprint Reference Point Detection Based on Local Axial Symmetry

Tong Liu, Chao Zhang, Pengwei Hao
2006 18th International Conference on Pattern Recognition (ICPR'06)  
In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algorithm to calculate reference point of a fingerprint based on this kind of feature.  ...  Experimental results demonstrate its feasibility, validity and the ability to detect reference points of all classes of fingerprints including arch-type fingerprints which is difficult to locate a stable  ...  In this paper, we present a novel feature also obtained from OF but more robust to noise and efficient to arch-type fingerprints.  ... 
doi:10.1109/icpr.2006.574 dblp:conf/icpr/LiuZH06 fatcat:ij3hku52pfe2tnbblfyhoplcgq

Novel Approaches for Exclusive and Continuous Fingerprint Classification [chapter]

Javier A. Montoya-Zegarra, João P. Papa, Neucimar J. Leite, Ricardo da Silva Torres, Alexandre X. Falcão
2009 Lecture Notes in Computer Science  
measures used for fingerprint matching purposes, and (2) a novel multi-class object recognition method based on the Optimum Path Forest classifier.  ...  Both approaches are useful to perform a coarse level classification of fingerprint images before fingerprint authentication tasks.  ...  Each fingerprint is assigned into one of the following five classes: Whorl (W), Right Loop (R), Left Loop (L), Arch (A), and Tented Arch (T).  ... 
doi:10.1007/978-3-540-92957-4_34 fatcat:26klh57wrjh73m6wr7hwyursfy

A Novel Technique in Fingerprint Identification using Relaxation labelling and Gabor Filtering

T. Arumuga Maria Devi
2012 IOSR Journal of Engineering  
First, the Gabor filter is used to extract the properties of the fingerprint image by using ridge mapping and thinning.  ...  The proposed technique utilizes minutiae information to estimate the orientation map of the parent fingerprint.  ...  ACKNOWLEDGMENT The authors would like to thank the members of the Dept. of CITE, M S University, Tirunelveli for various algorithms used in this research, and all the people who helped in preparing and  ... 
doi:10.9790/3021-021213440 fatcat:75n2t54owfbgbf5tfvybwuwgwa

Probabilistic orientation field estimation for fingerprint enhancement and verification

Kuang-chih Lee, Salil Prabhakar
2008 2008 Biometrics Symposium  
We present a novel probabilistic method to estimate the orientation field in fingerprint images.  ...  We show remarkable improvement of fingerprint verification accuracy on a relatively large fingerprint dataset based on the proposed approach.  ...  Thus the model cannot account for all the natural variations of orientation fields. Further, this approach cannot handle arch type of fingerprints, which do not have singular points.  ... 
doi:10.1109/bsym.2008.4655521 fatcat:lhcbc4r2zncovk5ocr5ynkazte

An Efficient Automatic Attendance System Using Fingerprint Reconstruction Technique [article]

Josphineleela Ramakrishnan, M. Ramakrishnan
2012 arXiv   pre-print
the records for a period of time is also a burdensome task.  ...  the reconstructed fingerprint against different impressions of the original fingerprint) using a commercial fingerprint recognition system.  ...  A novel minutiae-based approach [4] , has been proposed to match fingerprint images using similar structures.  ... 
arXiv:1208.1672v1 fatcat:l3jogvnvvbgqxcbiaxvks5wg4e

Toward An Efficient Fingerprint Classification [chapter]

Ali Ismail, Kensuke Bab
2011 Biometrics - Unique and Diverse Applications in Nature, Science, and Technology  
This chapter proposes a novel method for fingerprint classification using simple and established image processing techniques.  ...  Arch is a special type of fingerprint configuration, as less than 5% of all fingerprints is arches.  ...  Science and technology have evolved to a point where we can empirically record a measure of a biological or behavioral feature and use it for recognizing patterns, trends, and or discrete phenomena, such  ... 
doi:10.5772/15963 fatcat:7oj675hrtnhd7hx4driiltklzy

Persistent homology machine learning for fingerprint classification [article]

Noah Giansiracusa, Robert Giansiracusa, Chul Moon
2017 arXiv   pre-print
It was asserted in the literature that minutiae points, which are commonly used for fingerprint matching, are not useful for classification.  ...  We also apply TDA to fingerprint ink-roll images, which yields a lower accuracy rate but still shows promise, particularly since the only preprocessing is cropping; moreover, combining the two approaches  ...  A natural TDA approach is to view fingerprint minutiae points as a point cloud in R 2 -that is, to use minutiae point locations as the input for persistent homology.  ... 
arXiv:1711.09158v1 fatcat:fjkizxx36zbkliqttcmc56hppq

Literature Review On Fingerprint Level 1 And Level 2 Features Enhancement To Improve Quality Of Image

K. Krishna Prasad., Sreeramana Aithal
2017 Zenodo  
Level1 features are used for image enhancement and orientation purpose.  ...  In this paper, we made a survey of existing literature on Level 1 features and try to analyze other researcher's contribution to this field.  ...  They also proposed a new method for ridge cleaning based on ridge positions. In order to validate endpoints and bifurcation, they used two novel approaches and related algorithm.  ... 
doi:10.5281/zenodo.835607 fatcat:6pya2tfod5ag7jl6vf6u7ry3hq

Fingerprint Indexing Approaches for Biometric Database: A Review

Pooja A., Sheshang D.
2015 International Journal of Computer Applications  
This paper presents a survey on the fingerprint indexing methods that are currently available and some of them are presented.  ...  Information System (VIS) in Europe and US-VISIT / IDENT system in the USA are based on fingerprint recognition and generally contain millions of fingerprint samples.  ...  The two important measures used for measuring the performance of fingerprint indexing are Penetration rate and Hit rate.  ... 
doi:10.5120/ijca2015907150 fatcat:jbqyxtqycjenffgyvn42y4mkom

Literature Review on Fingerprint Level 1 and Level 2 Features Enhancement to Improve Quality of Image

Krishna Prasad K., P. S. Aithal
2017 International journal of management, technology, and social science  
Level1 features are used for image enhancement and orientation purpose.  ...  In this paper, we made a survey of existing literature on Level 1 features and try to analyze other researcher's contribution to this field.  ...  They also proposed a new method for ridge cleaning based on ridge positions. In order to validate endpoints and bifurcation, they used two novel approaches and related algorithm.  ... 
doi:10.47992/ijmts.2581.6012.0020 fatcat:2l6s7d7ssretdh4ckunsk37whm
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