Fingerprint Recognition Using Bioinspired Meta-heuristic Process

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Fingerprint recognition is an advanced approach for security management which supports by authentication to identify the individuals helps in identifying a person based on his personal attributes or characteristics, To identify a person, the fingerprint is analyzed by its features such as loops, whorl, arch, ridges, minutiae and so on. The process of identification happens from pre-processing, minutiae extraction, and classification. Pre-processing involves the enhancement of fingerprint ridges then noise filtering. Minutiae is extracted and classified with the help of the Euclidean distance classifier. The acquired result is then implemented with the Neural Network classifier for determining the performance. The simulation result shows the speed performance of the fingerprint recognition system.