Fingerprint Pattern Recognition Using Back Propagation Algorithms

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Provided by: International Journal of Electronics and Computer Science Engineering
Topic: Security
Format: PDF
Humans have used body characteristics such as face, voice, gait, etc. for thousands of years to recognize each other. A biometric fingerprint recognition system has most reliable for robust recognition in world. In this paper, Fingerprint recognition is one of the accurate biometric recognition system and identification of Human fingerprint patterns using neural network. The authors optimize, feed-forward back-propagation neural network using the two different database like CASIA Fingerprint database and FVC2002 database for fingerprint pattern recognition. The Results from feed-forward back-propagation neural network apply on CASIA Fingerprint database and FVC 2002 database have to be found the CASIA fingerprint database has better performance than FVC 2002 database.
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