Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System

International Journal of Computer Applications
© 2011 by IJCA Journal
Number 6 - Article 3
Year of Publication: 2011
M. Kokou Assogba
Amine Nait Ali

Kokou M Assogba and Amine Nait Ali. Article: Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System. International Journal of Computer Applications 16(6):14–19, February 2011. Full text available. BibTeX

	author = {M. Kokou Assogba and Amine Nait Ali},
	title = {Article: Fingerprint characteristic extraction by Ridge Orientation: an Approach for a Supervised Contactless Biometric System},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {16},
	number = {6},
	pages = {14--19},
	month = {February},
	note = {Full text available}


Fingerprints are the most widely used human characteristics for the purpose of people identification. However, touch-based fingerprint systems have some drawbacks due to skin elasticity, inconsistent finger placement, contact pressure, small sensing area, environment conditions and sensor noise. In this paper, we present a contactless fingerprint system based on a supervised contactless image acquisition and a ridge minutiae extraction method based on orientation computation. The fingerprint image acquisition method requires only an ordinary camera. The ridge orientation characteristic extraction is based on a double windowing of the ridge ending points and a single windowing of the ridge bifurcation points.


  • David, M., Dario, M., Anil, K. J., Salil, P., 2009 Handbook of Fingerprint Recognition. Second Edition, Springer–Verlag London Limited.
  • Gian, L. M., et al. 2009 First International Fingerprint Liveness Detection Competition-LivDet 2009. ICIAP LNCS 5716, pp. 12-23, Springer – Verlag Berlin Heidelberg.
  • Matsumoto, T., Matsumoto H., Yamada K., Hoshino S. 2002 Impact of artificial gummy fingers on fingerprint systems. Proceedings of SPIE, vol 4677, Yokohama Feb 2002.
  • Hiew, B.Y., Teoh, A.B.J., Pang Y. H. 2007 Touch-less Fingerprint Recognition System. Proc. Workshop on Automatic Identification Advanced Technologies. Pp. 24-29, Alghero, Italy 7-8 june 2007
  • Hiew, B.Y., Teoh, A.B.J., Yin O. S. 2010 A secure digital camera based fingerprint verification system. Journal of Visual Communication and Image Representation. Vol. 21, issue 3, pp. 219-231.
  • Parziale, G., Santana, E-D., Hauke, R. 2006 The Surround Imager: A Multi-camera Touchless Device to acquire 3D Rolled-Equivalent Fingerprints. ICB2006, LNCS 3832, pp. 244-250
  • Ruggero, D. L, Vincenzo, P, Neural-based Measurement of Fingerprint Images in Contactless Biometric Systems
  • Lee C., Lee S., Kim J., and Kim S.J. 2006 Preprocessing of a Fingerprint Image Captured with a Mobile Camera. ICB 2006, LNCS 3832, pp. 348-355.
  • Liu L., Dai, T-S. 2006 Ridge Orientation Estimation and Verification Algorithm for Fingerprint Enhancement. Journal of Universal Computer Science. Vol. 12, n° 10, pp. 1426-1438.
  • Djara, T., Assogba M. K., Nait Ali, A. 2010 Caractérisation spatiale des empreintes de l’index en analyse biométrique. Actes du CARI 2010. Yamoussoukro.
  • Galy, N. 2005 Etude d’un système complet de reconnaissance d’empreintes digitales pour un capteur microsystème à balayage. Institut National Polytechnique de Grenoble – INPG.
  • Tisse, C-L., Martin, L., Torres, L., Robert, M. 1996 Système automatique de reconnaissance d’empreintes digitales. Sécurisation de l’authentification sur carte à puce. Traitement du signal. Volume 13 n°1.
  • Coty, T. 2007 Biometric Detector an S and T Innovation. Stakeholders Conference, May 21-24 2007.