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Article:Fingerprint Identification using Sectorized Cepstrum Complex Plane
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 8 - Number 1 |
| Year of Publication: 2010 |
| Authors: Dr. H.B. Kekre, Dr. Tanuja Sarode, Rekha Vig |
10.5120/1180-1624
|
Dr. H.B. Kekre, Dr. Tanuja Sarode, Rekha Vig . Article:Fingerprint Identification using Sectorized Cepstrum Complex Plane. International Journal of Computer Applications. 8, 1 ( October 2010), 12-15. DOI=10.5120/1180-1624
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
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- 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
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