CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Singularity Points Detection in Fingerprint Images

by Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 5
Year of Publication: 2012
Authors: Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta
10.5120/6777-9072

Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta . Singularity Points Detection in Fingerprint Images. International Journal of Computer Applications. 45, 5 ( May 2012), 30-36. DOI=10.5120/6777-9072

@article{ 10.5120/6777-9072,
author = { Jitendra P. Chaudhari, Pradeep M. Patil, Y.p.kosta },
title = { Singularity Points Detection in Fingerprint Images },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 45 },
number = { 5 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number5/6777-9072/ },
doi = { 10.5120/6777-9072 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:36:48.946438+05:30
%A Jitendra P. Chaudhari
%A Pradeep M. Patil
%A Y.p.kosta
%T Singularity Points Detection in Fingerprint Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 5
%P 30-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An efficient algorithm for singular points (core and delta) detection in fingerprint images is proposed. The algorithm is based on an efficient maximum variation in local orientation field calculation method. The method was tested with FVC-2000 fingerprint database and the results were compared visually to the results obtained by human experts. The algorithm is capable of detecting singular points with precision and less computational time. The proposed algorithm outperforms existing algorithms in detection accuracy and calculation speed

References
  1. Qi Yuan, Tian Jie, Dai Ru Wei, 1998, Fingerprint Classification System with Feedback Mechanism Based on Genetic Algorithm,Proceedmgs of 14th ICPR, Australia, pp. 163-165
  2. Jain A. K. , Prabhakar S. , Hong L. , and Pankanti S. , May 2000, "Filterbank-Based Fingerprint Matching," IEEE Transactions on Image Processing, vol. 9, no. 5, pp. 846-859.
  3. Karu K. , and Jain A. K. , 1996 "Fingerprint Classification," Pattern Recognition, vol. 29, no. 3, pp. 389-404.
  4. Shen W, Shen J and zheng H, Oct. 2001, Fingerprint recognition system hy use of graph matching, Proceedings of SPIE, Vo1. 4554, Object Detection, Classification, and Tracking Technologies, edited by Shen J, Pankanti S and Wang R, pp141-146.
  5. Liu Wwei,Chen Yonghui and Wan Fang, 2008, "Fingerprint Classification by Ridgeline and Singular point Analysis ", In the proceedings of IEEE Congress on Image and Signal processing, pp594-598,
  6. Wang Feng, Chen Yun,Wang Hao and Wang Xiu-you, 2009, "Fingerprint Classification Based on Improved Singular Points Detection and Central Symmetrical Axis", In the proceedings of IEEE International Conference on Artificial Intelligent and Computational Intelligence, pp-508-512.
  7. Xiuyou Wang, Feng Wang,Jianzhong Fan and Jiwen Wang, 2009, "Fingerprint Classification Based on Continuous Orientation Field And Singular points" in the proceedings of IEEE Conference Intelligent Computing and Intelligent Systems,pp189-193.
  8. C Klimanee and D. T. Nguyen, 2004, "Classification of Fingerprints using singular Points And Their Principal Axes", in the proceedings of IEEE International Conference on Image Processing(ICIP),pp849-852.
  9. V Conti, C Militello,F Sorbello and S Vitabile, 2010, "Introducing Pseudo-Singularity Points For Efficient Fingerprints Classification and Recognition" in the proceedings of IEEE International Conference on Complex, Intelligent and Software Intensive Systems, pp-368-375.
  10. Ayad Mashan Turkey and Mohd Sharifuddin Ahmad, 2010," The Use of SOM for Fingerprint Classification" in the proceedings of IEEE conference on Information Retrieval & Knowledge Management, (CAMP), 2010,pp 287-290.
  11. C Militello, V Conti, F Sorbello and S Vitabile, 2008, " A Novel Embedded Fingerprints Authentication System Based on Singularity Points," in the proceedings of IEEE International Conference on Complex, Intelligent and Software Intensive Systems, pp72- 78.
  12. Hsieh Ching-Tang, Znuang Yuan Lu, Tan Chi Li, Kung Chen Mei, 2000, "An Effective Method to Extract Fingerprint Singular Point," Fourth International Conference on High-Performance Computing in the Asia-Pacific Region, Volume 2 , Beijing, China, 2000, pages: 696-700
  13. Anil K. Jain, Lin Hong, Sharath Pankanti, 1997,"An Identity - Authentication System Using Fingerprints", Proceedings of the IEEE, vo1. 85, no. 9, pp. 1364-1388.
  14. Jain A. K. , Prabhakar S. , and Hong L. , 1999, "A Multichannel Approach to Fingerprint Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, no. 4, pp. 348-359.
  15. Kawagoe M. and Tojo A. , 1984, "Fingerprint Pattern Classification," Pattern Recognition, vol. 17, pp. 295-303.
  16. Bunke H. , 1993, "Structural and Syntactic Pattern Recognition," Handbook of Pattern Recognition and Computer Vision, C. H. Chen et al. (Eds. ), World Scientific, River Edge, NJ.
  17. Tomohiko Ohtsuka, Daisuke Watanabe, Daisuke Tomizawa, Yuta Hasegawa and Hiroyuki Aoki, 2008, "Reliable Detection of Core And Delta in Fingerprints by using singular Candidate Method" in the proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. , pp 1-6.
  18. Keming Mao, Guoren Wang, Yan Jin and Changyong Yu,2009, " Using Genetics Algorithms for fingerprint core point Detection", in the proceedings of IEEE Sixth international Conference on Fuzzy Systems and knowledge Discovery,pp20-24.
  19. Thien Hoang Van and Hoang Thai Le, 2009, "An Efficient Algorithm for Fingerprint References-Point Detection" in the proceedings of IEEE Conference on Computing and Communication Technologies, 2009. RIVF '09. ,pp 1-7.
  20. Chih-Jen Lee, I-Horng Jeng, Tai-Ning Yang,Chun-Jung and Peng Su,2009, "Singular Point Detection in Fingerprint Images by a Bank of Discrete Fourier Filters",in the Proceedings of IEEE Fifth International conference on Intelligent Information Hiding and Multimedia Signal Processing,pp250-253.
  21. Liu Yong-Xia, Qi Jin and Xie Rui,2010, "A New Detection Method of singular Points of Fingerprints Based on Neural Network"in the Proceedings of 3rd IEEE Conference on Computer Science and Information Technology (ICCSIT), 2010,pp301-305.
  22. Terje Kristensen, Jostein Borthen and Kristian Fyllingsnes,2007, "Comparison of neural network based fingerprint classification techniques",in the Procedings of IEEE International Joint Conference on Neural Networks, Orlando,Florida, USA.
  23. Yilong Yin, Dawei Weng, Hao Li and Wenji Ma, 2008, "A New Roust Method of Singular Point Detection From Fingerprint"in the proceedings of IEEE International Symposium on Information Science Engineering, pp330-334.
  24. Jun Li,Wei-Yun Yau and Han Wang, 2006,"Singular Points Detection Using Interactive Mechanism In Fingerprint Images",in the proceedings of 9th IEEE Conference on Control, Automation, Robotics and Vision, 2006. ICARCV '06, pp1-6.
  25. Xioqi Peng, Gengxin Wu, Zhangping Peng and Yuxiao Li,2007, " An Improved Method of Fingerprint Singular points Detection",in the proceedings of IEEE International Conference on Control and Automation Guangzhous, CHINA, pp1032-1035.
  26. Pauli Ramo, Marius Tico, Vesa Onnia, and Jukka Saarinen, Oct-2001,"Optimized Singular Point Detection Algorithm For Fingerprint Images" in Proceedings of International Conference on Image Processing, vol. 3, pp. 242-245.
  27. Amin Serir and Ferida Bennabes, 2010,"Fingerprint Classification By Block Ridgelet and SVM",in the Proceedings of IEEE 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA-2010), pp 670-673.
  28. Jiaojiao Hu and Mei Xei, 2010,"Fingerprint Classification Based on Genetic Programming", In the proceedings of IEEE, pp v6-193-v6-196.
  29. Ting Tang, Xiaopei Wu and Ming Xiang,2008,"An Improved Fingerprint Singularity Point Detection Algorithm Based on Continuous Orientation Field", In the proceedings of IEEE International Symposium on Computer Science and Computational Technology, pp454-457.
  30. Shesha Shah and P S Sastry,2004," Fingerprint Classification Using a Feedback-Based Line detector", IEEE Transactions on Systems,Man, And Cybernetics-Part B Cybernetics Vol-34 No. :1, pp 85-94.
  31. Lei Guo,Youxi Wu,Weili Yan and Xuenqin Shen,2006 "Research on Automatic Fingerprint Classification Based on Support Vector Machine", In the proceedings of IEEE 6th World congress on Intelligent Control and automation, pp4093-4096.
  32. Hye-Wuk Jung and Jee-Hyong Lee,2009," Fingerprint Classification Using the Stochastic approach of Ridge Direction Information", In the proceedings of Fuzz-IEEE Korea, pp 169-174.
Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Orientation Field Singularity Points.

Powered by PhDFocusTM