Biometric identification of newborns through palmar surface

• Rubisley P. Lemes UFPR
• Olga R.P. Bellon UFPR
• Luciano Silva UFPR
• Monica N.L. Cat UFPR

Abstract

We present results on newborn identification through automatic matching of high-resolution images of palmar surfaces. The use of friction ridge patterns for newborns is challenging due to both the small size of newborn’s papillary ridges and their fragility. In this context we present our main contributions: a protocol for image acquisition, and algorithms for image processing and recognition. Experiments were performed on images collected from 250 newborns at a university hospital. For good quality palmar images, the results show that the proposed approach is promising.

References

Bolle, R. M., Connell, J. H., Pankanti, S., Ratha, N. K., and Senior, A. W. (2003). Guide to Biometrics. Springer.

Chikkerur, S., Cartwright, A. N., and V., G. (2007). Fingerprint enhancement using STFT analysis. Pattern Recognition, 40(1):198–211.

Hong, L., Wan, Y., and Jain, A. K. (1998). Fingerprint image enhancement: Algorithm and performance evaluation. IEEE TPAMI, 20(8):777–789.

Jain, A. K., Prabhakar, S., Hong, L., and Pankanti, S. (2000). Filterbank-based fingerprint matching. IEEE TIP, 9(5):846–859.

Kirkpatrick, S., Gelatt, C., and Vecchi, M. (1983). Optimization by simulated annealing. Science, 220:671–680.

Silva, L., Bellon, O. R. P., Lemes, R. P., and et al. (2006). An image processing tool to support gestational age determination. In Proc. CBMS, pages 867–874.

Weingaertner, D., Bellon, O., Silva, L., and Cat, M. (2008). Newborn’s biometric identification: can it be done? In Proc. VISAPP, pages 200–205.

Wu, C., Tulyakov, S., and Govindaraju, V. (2006). Image quality measures for fingerprint image enhancement. Lecture Notes in Computer Science, 4105:215–222.