Comparison of compression algorithms' impact on fingerprint and face recognition accuracy

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6508, Issue PART 1, 2007, Pages

  Mascher Kampfer, A ^a   Stögner, Herbert ^a   Uhl, Andreas ^a,b  

^a Carinthia Tech Institute (CTI)   (Austria)

^b UNIVERSITY OF SALZBURG   (Austria)

Author keywords

Biometrics; Face recognition; Fingerprint recognition; Image compression

Indexed keywords

BIOMETRICS; IMAGE COMPRESSION; PATTERN MATCHING; SIGNAL TO NOISE RATIO;

FACE IMAGERY; FINGERPRINT RECOGNITION; JPEG2000; SPIHT;

FACE RECOGNITION;

EID: 35148874980     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.699199     Document Type: Conference Paper

References (31)

1. W. Pennebaker and J. Mitchell, JPEG - Still image compression standard, Van Nostrand Reinhold, New York, 1993.
2. J. N. Bradley, C. M. Brislawn, and T. Hopper, "The FBI wavelet/scalar quantization standard for gray-scale fingerprint image compression," in SPIE Proceedings, Visual Information Processing II, 1961, pp. 293-304, (Orlando, FL, USA), Apr. 1993.
3. D. Taubman and M. Marcellin, JPEGWOO -Image Compression Fundamentals, Standards and Practice, Kluwer Academic Publishers, 2002.
4. M. A. Lepley, "Profile for 1000ppi fingerprint compression," Tech. Rep. MTR 04B0000022, The MITRE Corporation, 2004.
5. Y. Fisher, T. Shen, and D. Rogovin, "A comparison of fractal methods with DCT (JPEG) and wavelets (EPIC)," in Neural and Stochastic Methods in Image and Signal Processing III, SPIE Proceedings 2304-16, (San Diego, CA, USA), July 1994.
6. D. Santa-Cruz and T. Ebrahimi, "A study of JPEG 2000 still image coding versus other standards," in Proceedings of the 10th European Signal Processing Conference, EUSIPCO '00, (Tampere, Finland), Sept. 2000.
7. A. Zhang, B. Cheng, R. Acharya, and R. Menon, "Comparison of wavelet transforms and fractal coding in texture-based image retrieval," in Visual Data Exploration and Analysis III, G. Grinstein and R. Erbacher, eds., SPIE Proceedings 2656, pp. 116-125, SPIE, Mar. 1996.
8. D. Krämer, A. Bruckmann, T. Freina, M. Reichl, and A. Uhl, "Comparison of wavelet, fractal and DCT based methods on the compression of prediction-error images," in Proceedings of the International Picture Coding Symposium (PCS'97), ITG-Fachberichte 143, pp. 393-397, VDE-Verlag, Berlin, Offenbach, Sept. 1997.
9. B. Jerabek, P. Schneider, and A. Uhl, "Comparison of lossy image compression methods applied to photorealistic and graphical images using public domain sources," Tech. Rep. RIST++15/98, Research Institute for Softwaretechnology, University of Salzburg, 1998.
10. R. Kidd, "Comparison of wavelet scalar quantization and JPEG for fingerprint image compression," Journal of Electronic Imaging 4(1), pp. 31-39, 1995.
11. B. G. Sherlock and D. M. Monro, "Optimized wavelets for fingerprint compression," in Proceedings of the 1996 International Conference on Acoustics, Speech and Signal Processing (ICASSP'96), (Atlanta, GA, USA), May 1996.
12. B. G. Sherlock and D. M. Monro, "Psychovisually tuned wavelet fingerprint compression," in Proceedings of the IEEE International Conference on Image Processing (ICIP'96), IEEE Signal Processing Society, (Lausanne, Switzerland), Sept. 1996.
13. T.-K. Lin, "Wavelet compression of fingerprints and recognition using moment invariants," in IASTED Conference on Artificial Intelligence and Applications, (Innbruck, Austria), Feb. 2006. paper no. 502-031.
14. O. Gerek and A. Cetin, "Polyphase adaptive filter banks for fingerprint image compression," Electronics Letters 34, pp. 1931-1932, Oct. 1998.
15. B. G. Sherlock and D. M. Monro, "Balanced uncertainty wavelets for fingerprint compression," in IEE Colloquium on Image Processing for Security Applications, pp. 5-8, (London, GB), Mar. 1997.
16. U. Grasemann and R. Miikkulainen, "Effective image compression using evolved wavelets," in GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation, pp. 1961-1968, ACM Press, (New York, NY, USA), 2005.
17. J. Scharinger, H. Gaderbauer, and G. Wilflingseder, "Redesigning the FBI fingerprint compression standard," in Pattern Recognition and Medical Computer Vision 1998, M. Gengler, M. Prinz, and E. Schuster, eds., books@ocg.at 106, pp. 215-223, Austrian Computer Society, 1998.
18. S. Kasaei, M. Deriche, and B. Boashash, "A novel fingerprint image compression technique using wavelet packets and pyramid lattice vector quantization," IEEE Transactions on Image Processing 12(11), pp. 1365-1378, 2002.
19. P. Saeedian and B. Shirazi, "A novel fingerprint image compression technique using adaptive subband image coding," in Proceedings of the 2004 Picture Coding Symposium PCS'04, 2004.
20. G. Khuwaja, "Best parameter based compression of fingerprints with wavelet packets," International Journal of Computer Applications in Technology 19(1), pp. 51-62, 2004.
21. J. Thärna, K. Nilsson, and J. Bigun, "Orientation scanning to improve lossless compression of fingerprint images," in Proceedings of AVBPA, J. Kittler and M. Nixon, eds., ZJVCS2688, pp. 343-350, Springer Verlag, 2003.
22. R. Sudhakar, N. Vigesh, and S. Jayaraman, "Application of wavelet footprints for fingerprint compression," ICGST International Journal on Graphics, Vision, and Image Processing 5(6), pp. 39-45, 2005.
23. A. Said and W. A. Pearlman, "A new, fast, and efficient image codec based on set partitioning in hierarchical trees," IEEE Transactions on Circuits and Systems for Video Technology 6, pp. 243-249, June 1996.
24. R. Sudhakar, R. Karthiga, and S. Jayaraman, "Fingerprint compression using contourlet transform with modified SPIHT algorithm," IJECE Iranian Journal of Electrical and Computer Engineering 5(1), pp. 3-10, 2005.
25. R. Eslami and H. Radha, "Wavelet-based contourlet transform and its application to image coding," in Proceedings of the IEEE International Conference on Image Processing (ICIP'04), IEEE Signal Processing Society, (Singapore), Oct. 2004.
26. R. Eslami and H. Radha, "Wavelet-based contourlet packet image coding," in 2005 Conference on Information Sciences and Systems, (The John Hopkins University), Mar. 2005.
27. C. Beleznai, H. Ramoser, B. Wachmann, J. Birchbauer, H. Bischof, and W. Kropatsch, "Memory-efficient fingerprint verification," in Proceedings of the IEEE International Conference on Image Processing (ICIP'01), 2, pp. 463-466, (Thessaloniki, Greece), Oct. 2001.
28. X. Li, J.-H. Lai, and Z. Zhang, "An efficient compression and reconstruction method of face image for low rate net," in Advances in Biometric Person Authentication, 5th Chinese Conference on Biometric Recognition, SINOBIOMETRICS 2004, LNCS 3338, pp. 379-385, Springer-Verlag, 2004.
29. K. Delac, M. Grigic, and S. Grigic, "Effects of JPEG and JPEG2000 compression on face recognition," in Proceedings of ICAPR 2005, LNCS 3687, pp. 136-145, Springer-Verlag, 2005.
30. D. McGarry, C. Arndt, S. McCabe, and D. D'Amato, "Effects of compression and individual variability on face recognition performance," in Biometrie Technology for Human Identification, Proceedings of SPIE 5404, pp. 362-372, Aug. 2004.
31. Y. Fisher, ed., Fractal Image Compression: Theory and Application, Springer-Verlag, New York, 1995.