Abstract
A new approach for the personal identification using hand images is presented. This paper attempts to improve the performance of palmprint-based verification system by integrating hand geometry features. Unlike other bimodal biometric systems, the users does not have to undergo the inconvenience of passing through two sensors since the palmprint and hand geometry features can be are acquired from the same image, using a digital camera, at the same time. Each of these gray level images are aligned and then used to extract palmprint and hand geometry features. These features are then examined for their individual and combined performance. The image acquisition setup used in this work was inherently simple and it does not employ any special illumination nor does it use any pegs to cause any inconvenience to the users. Our experimental results on the image dataset from 100 users confirm the utility of hand geometry features with those from palmprints and achieve promising results with a simple image acquisition setup.
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References
A. K. Jain, R. Bolle, and S. Pankanti, Biometrics: Personal identification in networked society, Kulwer Academic, 1999.
M.-H. Yang, D. J. Kriegman, and N. Ahuja, “Detecting faces in images: A Survey,” IEEE Trans. Patt. Anal. Machine Intell., vol. 24, pp. 34–58, Jan. 2002.
W. K. Kong and D. Zhang, “Palmprint texture analysis based on low-resolution images for personal authentication,” Proc. ICPR-2002, Quebec City (Canada).
A. Kumar and H. C. Shen, “Recognition of palmprints using wavelet-based features,” Proc. Intl. Conf. Sys., Cybern., SCI-2002, Orlando, Florida, Jul. 2002.
W. Li, D. Zhang, and Z. Xu, “Palmprint identification by Fourier transform,” Proc. Int. J. Patt. Recognit. Art. Intell., vol. 16, no. 4, pp. 417–432, 2002.
J. You, W. Li, and D. Zhang, “Hierarchical palmprint identification via multiple feature extraction,” Pattern Recognit., vol. 35, pp. 847–859, 2002.
X. Wu, K. Wang, and D. Zhang, “Fuzzy directional energy element based palmprint identification,” Proc. ICPR-2002, Quebec City (Canada).
W. Shu and D. Zhang, “Automated personal identification by palmprint,” Opt. Eng., vol. 37, no. 8, pp. 2359–2362, Aug. 1998.
D. Zhang and W. Shu, “Two novel characteristics in palmprint varification: datum point invariance and line feature matching,” Pattern Recognit., vol. 32, no. 4, pp. 691–702, Apr. 1999.
N. Duta, A. K. Jain, and Kanti V. Mardia, “Matching of palmprint,” Pattern Recognit. Lett., vol. 23, no. 4, pp. 477–485, Feb. 2002.
J. Funada, N. Ohta, M. Mizoguchi, T. Temma, K. Nakanishi, A. Murai, T. Sugiuchi, T. Wakabayashi, and Y Yamada, “Feature extraction method for palmprint considering elimination of creases,” Proc.14th Intl. Conf. Pattern Recognit., vol. 2, pp. 1849–1854, Aug. 1998.
J. Chen, C. Zhang, and G. Rong, “Palmprint recognition using crease,” Proc. Intl. Conf. Image Process., pp. 234–237, Oct. 2001.
D. G. Joshi, Y. V. Rao, S. Kar, V. Kumar, “Computer vision based approach to personal identification using finger crease pattern,” Pattern Recognit., vol. 31, no. 1, pp. 15–22, 1998.
S. Y. Kung, S. H. Lin, and M. Fang,“A neural network based approach to face/palm recognition,” Proc. Intl. Conf. Neural Networks, pp. 323–332, 1995.
C.-C. Han, H.-L. Cheng, C.-L. Lin and K.-C. Fan, “Personal authentication using palm-print features,” Pattern Recognit., vol. 36, pp. 371–381, 2003.
D. P. Sidlauskas, “3D hand profile identification apparatus,” U. S. Patent No. 4736203, 1988.
I. H. Jacoby, A. J. Giordano, and W. H. Fioretti, “Personal identification apparatus,” U. S. Patent No. 3648240, 1972.
R. P. Miller, “Finger dimension comparison identification system,” U. S. Patent No. 3576538, 1971.
R. H. Ernst, “Hand ID system,” U. S. Patent No. 3576537, 1971.
R. Sanchez-Reillo, C. Sanchez-Avila, and A. Gonzales-Marcos, “Biometric identification through hand geometry measurements,” IEEE Trans. Patt. Anal. Machine Intell., vol. 22, no. 10, pp. 1168–1171, 2000.
A. K. Jain, A. Ross, and S. Pankarti, “A prototype hand geometry based verification system”, Proc. 2 nd Intl. Conf. Audio Video based Biometric Personal Authentication, Washington D. C., pp. 166–171, Mar. 1999.
B. Miller, “Vital signs of identity,” IEEE Spectrum, vol. 32, no. 2,, pp. 22–30, 1994.
L. Hong and A. K. Jain, “Integrating face and fingerprint for personal identification,” IEEE Trans. Patt. Anal. Machine Intell., vol. 20, pp. 1295–1307, Dec. 1998.
S. Ben-Yacoub, Y. Abdeljaoued, and E. Mayoraz, “Fusion of face and speech data for person identity verification,” IEEE Trans. Neural Networks, vol. 10, pp. 1065–1074, 1999.
N. Otsu, “A threshold selection method from gray-scale histogram,” IEEE Trans. Syst., Man, Cybern., vol. 8, pp. 62–66, 1978.
S. Baskan, M. M. Balut, and V. Atalay, “Projection based method for segmentation of human face and its evaluation,” Pattern Recognit. Lett., vol. 23, pp. 1623–1629, 2002.
L. Hong, Y. Wan, and A. K. Jain, “Fingerprint image enhancement: Algorithm and performance evaluation,” IEEE Trans. Patt. Anal. Machine Intell., vol. 20, pp. 777–789, Aug. 1998.
J. R. Parkar, Algorithms for Image Processing and Computer Vision, John Wiley & Sons, 1997.
J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, “On combining classifiers” IEEE Trans. Patt. Anal. Machine Intell., vol. 20, pp. 226–239, Mar. 1998.
S. Prabhakar and A. K. Jain, “Decision level fusion in fingerprint verification,” Pattern Recognit., vol. 35, pp. 861–874, 2002.
A. Ross, A. K. Jain, and J.-Zhang Qian, “Information fusion in biometrics,” Proc. AVBPA’01, Halmstad, Sweden, pp. 354–359, Jun. 2001.
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Kumar, A., Wong, D.C.M., Shen, H.C., Jain, A.K. (2003). Personal Verification Using Palmprint and Hand Geometry Biometric. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_78
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DOI: https://doi.org/10.1007/3-540-44887-X_78
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