High-Resolution Fingerprint Matching Using Level 3 Incipient Ridges and Scars

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
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 to minutia points and to pores and ridge contours. Latent print examiners frequently use 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 features. Increasing the scan resolution alone does not increase the performance of the system.
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