Abstract

Using biometrics to verify a person’s identity has several advantages over the present practices of personal identification numbers (PINs) and passwords. Minutiae-based automated fingerprint identification systems are more popular, but they are more computationally complex and time consuming. In this paper we propose a simple yet effective technique for fingerprint identification. This method is image-based in which feature vectors of a fingerprint are extracted after sectorization of the cepstrum of a fingerprint. They are matched with those stored in the database. The experimental results show that this algorithm could correctly identify fingerprints with accuracy more than 96% in case of larger number of sectors.

References

• D. Maltoni, D. Maio, A. Jain, and S. Prabhakar, Handbook of Fingerprint Recognition. New York: Springer, 2003.
• L. Jain et al., Intelligent Biometric Techniques in Fingerprint and Face Recognition, CRC Press, 1999.
• F. Gamble, L. Frye, and D. Grieser, “Real-time Fingerprint Verification System,” Applied Optics, vol. 31, no. 5, 1992, pp.652-655.
• Gonzalez Rafael C., Woods Richard E., “Digital Image Processing,” 3rd edition. Prentice Hall, 2008.
• H. B. Kekre, Tanuja K. Sarode, Vinaya M. Rawool, “Finger Print Identification using Discrete Sine Transform (DST)” International Conference on Advanced Computing & Communication Technology (ICACCT-2008) Asia Pacific Institute of Information Technology, Panipat India 8-9 Nov 2008
• H. B. Kekre, Tanuja K. Sarode, Vinaya M. Rawool, “Fingerprint Identification using Principle Component Analysis (PCA)” International Conference on Computer Networks and Security (ICCNS08) held at VIT Pune, 27-28,September 2008
• H. B. Kekre, Tanuja K. Sarode , Sudeep D. Thepade, DCT Applied to Column Mean and Row Mean Vectors of Image for Fingerprint Identification” International Conference on Computer Networks and Security (ICCNS08) held at VIT Pune, 27-28,September 2008
• H. B. Kekre, V. A. Bharadi, “Fingerprint Orientation Field Estimation Algorithm Based on Optimized Neighborhood Averaging” 2nd International Conference on Emerging Trends in Engineering & Technology (ICETET_09) 16-18 December 2009, G.H. Raisoni College of Engineering, Nagpur, India. Cited on line at IEEE Xplore
• H. B. Kekre, V. A. Bharadi, “Fingerprint & Palmprint Segmentation by Automatic Thresholding of Gabor Magnitude” 2nd International Conference on Emerging Trends in Engineering & Technology (ICETET_09) 16-18 December 2009, G.H. Raisoni College of Engineering, Nagpur, India. Cited on line at IEEE Xplore
• H. B. Kekre, V. A. Bharadi, “Fingerprint's Core Point Detection Using Orientation Field” International Conference on Advances in Computing, Control, & Telecommunication Technologies, 2009. (ACT '09),28-29 Dec 2009, Thiruvananthapuram, Kerala, Cited on line at IEEE Xplore
• A. K. Jain, J. Feng, A. Nagar and K. Nandakumar, “On Matching Latent Fingerprints”, IEEE Computer Society Workshop on Biometrics, CVPR, Alaska, June 2008