International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.4, No.6, Jun. 2012
Touch-less Fingerprint Analysis — A Review and Comparison
Full Text (PDF, 425KB), PP.46-52
Touch-less fingerprint recognition system is a reliable alternative to conventional touch-based fingerprint recognition system. Touch-less system is different from conventional system in the sense that they make use of digital camera to acquire the fingerprint image where as conventional system uses live-acquisition techniques. The conventional fingerprint systems are simple but they suffer from various problems such as hygienic, maintenance and latent fingerprints. In this paper we present a review of touch-less fingerprint recognition systems that use digital camera. We present some challenging problems that occur while developing the touch-less system. These problems are low contrast between the ridge and the valley pattern on fingerprint image, non-uniform lighting, motion blurriness and defocus, due to less depth of field of digital camera. The touch-less fingerprint recognition system can be divided into three main modules: preprocessing, feature extraction and matching. Preprocessing is an important step prior to fingerprint feature extraction and matching. In this paper we put our more emphasis on preprocessing so that the drawbacks stated earlier can be removed. Further preprocessing is divided into four parts: first is normalization, second is fingerprint Segmentation, third is fingerprint enhancement and last is the core point detection. Feature extraction can be done by Gabor filter or by minutia extraction and the matching can be done by Support Vector Machine or Principal Component Analysis and three distance method.
Cite This Paper
Prabhjot Kaur, Ankit Jain, Sonia Mittal,"Touch-less Fingerprint Analysis — A Review and Comparison", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.6, pp.46-52, 2012. DOI: 10.5815/ijisa.2012.06.06
D. Maltoni, D. Maio, A. K.Jain, and S. Prabhakar, Handbook of Fingerprint Recognition, Springer-Verlag, New York, 2003.
Y. Song, C. Lee, and J. Kim, "A New Scheme for Touchless Fingerprint Recognition System", International Symposium on Intelligent Signal Processing and Communication Systems, Korea, 2004.
B.Y. Hiew, Andrew B.J. Teoh and Y.H. Pang, “Touch-less fingerprint recognition system”, 2007.
B.Y. Hiew, Andrew B.J. Teoh, and David C.L. Ngo, “Preprocessing of Fingerprint Images Captured with a Digital Camera", 9th International Conference on Control, Automation, Robotics and Vision (ICARCV 2006), Singapore, 2006.
Lin Hong, Student Member, IEEE, Yifei Wan, and Anil Jain “Fingerprint Image Enhancement: Algorithm and Performance Evaluation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 8, August 1998.
S. Chikkerur, A. Cartwright, and V. Govindaraju, "Fingerprint Image Enhancement Using STFT Analysis", International Conference on Advances in Pattern Recognition, United Kingdom, 2005.
Jain, A., Hong, L., and Bolle, R.:”On-line Fingerprint Verification”, IEEE Transaction, 1997.
C.J. Lee and S.D. Wang, "Fingerprint feature extraction using Gabor filters", Electronics Letters, vol.35, no.4, 1999.
Kenneth Nilsson and Josef Bigun, ”Localization of corresponding points in fingerprints by complex filtering” ,Pattern Recognition Letters, vol. 24, pp. 2135-2144, 2003.
Burges, C.J.C., “A tutorial on Support vector Machine for Pattern Recognition”, Knowledge Discovery and Data Mining, vol.2, no.2, 1998.
B.Y. Hiew, Andrew B.J. Teoh and Y.H. Pang, “Digital camera based fingerprint recognition”, 2007 IEEE international conference on Telecommunications.