Fingerprint Minutiae Extraction using Fuzzy Logic
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10.5120/17724-8086 |
Pankaj Mohindru, Govind Sharma and Pooja. Article: Fingerprint Minutiae Extraction using Fuzzy Logic. International Journal of Computer Applications 101(10):24-26, September 2014. Full text available. BibTeX
@article{key:article,
author = {Pankaj Mohindru and Govind Sharma and Pooja},
title = {Article: Fingerprint Minutiae Extraction using Fuzzy Logic},
journal = {International Journal of Computer Applications},
year = {2014},
volume = {101},
number = {10},
pages = {24-26},
month = {September},
note = {Full text available}
}
Abstract
Fingerprints, the oldest and most widespread biometric identification system are commonly used for criminal investigation in forensic Science; there is minute statistical theory on the Rareness of fingerprint minutiae. A critical step in studying the statistics of Fingerprint minutiae is to reliably extract minutiae from the fingerprint images. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image Enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations.
References
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