Abstract
The widespread operation of modified algorithm (National Institution of Standard Technology Fingerprint image Quality (NIFQ)) in government applications allow some persons with illegal environment by neglecting the detection of altered fingerprints. By using the fingerprint quality assessment software, it is difficult to find the altered fingerprints, since the quality of image does not degrade. This paper focuses on optimizing the modified NFIQ algorithm by implementing particle swarm optimization (PSO) based on a fingerprint identification system. It can also be helpful in improving the performance by accuracy and robustness for detecting the fingerprint which is altered.
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