FINGERPRINT AUTHENTICATION AND FACIAL RECOGNITION FOR ATM
Our Project is to develop the technique for fingerprint authentication and facial recognition in ATMs. This target can be mainly decomposed into image pre-processing, feature extraction and feature match. For each sub-task, some classical and up-to-date methods in literature are analyzed. Based on the analysis, an integrated solution for fingerprint recognition, facial recognition and authentication is developed for demonstration. For the program, some optimization at the coding level and algorithm level are proposed to improve the performance of my fingerprint and facial authentication system. These performance enhancements are shown by experiments conducted upon a variety of fingerprint and facial images. Also, the experiments illustrate the key issues of fingerprint recognition and facial recognition that are consistent with what the available literature says "The underlying principle is the phenomenon of biometric and facial “AUTHENTICATION”. In this project we propose a method for fingerprint matching and face matching based on minutiae matching."
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