In today’s technology world, a majority of users across the world have access to Internet for communication via fingerprint ,images, audio and video. It is a need to understand and recognize the behavior of such larger text information on people by analysing their finger. This Paper focuses on collect a database of fingerprint images, we design a neural network algorithm for fingerprint recognition.In one experiment, the neural network is trained using a few hundred pairs of images and its performance is subsequently tested using several thousand pairs of images originated from a subset of the data base corressponding to 20 individuals. At the end, a comparative study of the performance of different classifiers is discussed.

Sentiment analysis , deep learning , fingerprint detection

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