An effective approach to fingerprint segmentation using fisher basis

2005 Pakistan Section Multitopic Conference, INMIC

Volumn , Issue , 2005, Pages

  Afsar, F A ^a   Arif, M ^a   Hussain, M ^a  

^a PAKISTAN INSTITUTE OF ENGINEERING AND APPLIED SCIENCES   (Pakistan)

Author keywords

Fingerprint identification verification; Fisher discriminant analysis; LVQ neural networks; Segmentation

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIGITAL IMAGE STORAGE; DISCRIMINANT ANALYSIS; FISHER INFORMATION MATRIX; IMAGE PROCESSING; NEURAL NETWORKS; ONLINE SYSTEMS; VECTOR QUANTIZATION;

AUTOMATIC FINGERPRINT RECOGNITION SYSTEMS; FEATURE SPACES; FINGERPRINT IDENTIFICATION/VERIFICATION; FINGERPRINT IMAGE SEGMENTATION; FINGERPRINT SEGMENTATION; FINGERPRINT VERIFICATION SYSTEMS; FISHER DISCRIMINANT ANALYSIS; INTEGRAL PART; LEARNING VECTOR QUANTIZATION NEURAL NETWORKS; LVQ NEURAL NETWORKS; MULTIPLE FEATURES; ONE-DIMENSIONAL; PAKISTAN; SEGMENTATION; SEGMENTATION ERRORS;

IMAGE SEGMENTATION;

EID: 50249105376     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INMIC.2005.334432     Document Type: Conference Paper

References (25)

1. Gonzalez R. C. and Woods R. E., Digital Image processing, Addison Wesley, 1992.
2. Merthe B.M., Murthy N.N., Kapoor S., and Chatterjee B., Segmentation of Fingerprint Images Using the Directional Image, Pattern Recognition, vol. 20, no. 4, pp. 429-435, 1987.
3. Ratha N.K., Chen S.Y., and Jain A.K., Adaptive flow orientation based feature extraction in fingerprint images, Pattern Recognition, col. 28, no. 11, pp. 1657-1672, 1995.
4. Maio D. and Maltoni D., An Efficient Approach to Online Fingerprint Verification, Proc. 8th. Int. Symposium on AI, Monterrey, Mexico, Oct., 1995.
5. Shen L.L., Kot A., and Koo W.M., Quality Measures of Fingerprint Images, in proc. 3. rd. International Conference on AVBPA 2001 pp. 266-271.
6. Bazen A.M., Gerez S.H., Segmentation of Fingerprint Images, in 12th Annual Workshop on Circuits, Systems and Signal Processing, pp. 276-280.
7. Sen W., Weiwei Z., Yangsheng W., New Features Extraction and Application in Fingerprint Segmentation, (report) National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
8. Klein S., Bazen A.M. and Veldhuis R.N.J., Fingerprint Image Segmentation Based on Hidden Markov Models, in proc. ProRISC 2002, 13th Annual Workshop on Circuits, Systems, and Signal Processing.
9. Chen X., Tian J., Ren Q., Cheng J., Shang Z., Segmentation of Fingerprint Images Using Linear Classifier, EURASIP Journal on Applied Signal Processing, 2002.10. (SCIE)
10. Bazen A.M.and Gerez S.H., Directional Field Computation for Fingerprints Based on the Principal Component Analysis of Local Gradients, Proc. ProRISC2000, 11th Ann. Workshop Circuits, Systems and Signal Processing, Nov. 2000.
11. Zhongchao S., A new fingerprint image segmentation algorithm based on ROI, Institute of Automation, Chinese Academy of Science.
12. Mosorov V., Using tophat transformation for fingerprint image segmentation, International Conference on Signals and Electronic Systems, 2001.
13. Jain A.K., Ratha N., and Lakshmanan S., Object detection using gabor filters, Pattern Recognition, vol. 30, pp. 295-309,1997.
14. Jain, A.K. and Farrokhnia, F., (1991) Unsupervised texture segmentation using Gabor filters, Pattern Recognition, vol. 23, 1167-1186.
15. Love, P.L., and Simaan, M., Segmentation of a Seismic Section Using Image Processing and Artificial Intelligence Techniques, Pattern Recgnition vol. 18, no. 6, 1985, pp. 409-419.
16. Sato, S., and Umezaki, T., A fingerprint segmentation method using a recurrent neural network, Proceedings of the 2002 12th IEEE Workshop on Neural Networks for Signal Processing, 2002. pp. 345-354
17. Hong L., Wan Y., Jain A.K., Fingerprint Image Enhancement: Algorithm and Performance Evaluation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, no. 8, pp. 777-789,1998.
18. Jain A., Hong L., Pankanti S., Bolle R., An Identity Authentication System Using Fingerprints, In proc. of the IEEE, Vol. 85, No. 9, pp. 1365-1388, 1997.
19. Yang J., Liu L., Jiang T., Fan Y., A modified Gabor filter design method for fingerprint image enhancement, Pattern Recognition Letters, v.24 n.12, p. 1805-1817, August 2003
20. Chikkerur S., Wu C, and Govindaraju V., A Systematic Approach for Feature Extraction in Fingerprint Images, ICBA, pp. 344-350,2004.
21. Fausett L., Fundamentals of neural networks: architectures, algorithms, and applications, PrenticeHall, Inc., Upper Saddle River, NJ, 1994.
22. Jain A.K., Duin R.P.W., and Mao J., Statistical Pattern Recognition: A Review," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 1,2000.
23. Yambor W.S., Analysis of PCA-Based and Fisher Discriminant-Based Image Recognition Algorithms, M.S. Thesis, (Technical Report CS-00-103, Computer Science). July 2000.
24. Franc V. and Hlavac V., Statistical Pattern Recognition Toolbox for Matlab User's guide, June 2004. http://cmp.felk.cvut.cz/~xfrancv/stprtool/ stprtool.pdf
25. The Fingerprint Verification Competition Organization FVC-2002.