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High-Resolution Fingerprint Matching using Level 3 Incipient Ridges and Scars
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 8 |
| Year of Publication: 2012 |
| Authors: V. Latha Jothi, S. Arumugam |
10.5120/7368-0130
|
V. Latha Jothi, S. Arumugam . High-Resolution Fingerprint Matching using Level 3 Incipient Ridges and Scars. International Journal of Computer Applications. 48, 8 ( June 2012), 19-22. DOI=10.5120/7368-0130
Abstract
Biometrics consists of automated methods for identifying and recognizing a person which can be either in the form of physiological or behavioral traits. Some of the features being considered are face, fingerprints, hand geometry, handwriting and voice. Fingerprint friction ridge details are hierarchically divided into 3 different levels which ranges from pattern (Level1) to minutia points (Level 2) and to pores and ridge contours (Level 3). Latent print examiners frequently use Level 3 features for finger print recognition and identification. But the Federal Bureau of Investigation's (FBI) standard for finger print resolution for Automated Fingerprint Identification Systems (AFIS) is 500 pixels per inch which is highly inadequate for capturing level 3 features. Increasing the scan resolution alone does not increase the performance of the system. In the proposed work incipient ridges and scars is extracted using Gabor filter technique which is combined with pores and ridges of Fingerprint. Geometric matching is performed for the level 3 features. Experiments conducted shows that the performance gain is 90% and error rate is 2. 4571 % for the proposed model which outperforms the existing work with level 3 features: ridges and pores.
References
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