Study on enhancing the accuracy of fingerprint recognition system
Abhishek, Ajai Kumar Gautam · 2021
With the rapid advancements of the technology everyone is socially connected with each other by means of internet. This will also give rise to the problem of theft of each other identities whether there is a swipe card transaction, border crossing, time attendance, driving license, personal computers, personnel digital assistants to access the confidential files. So unique impression of each individual which can’t be duplicated is thus required. Therefore in order to avoid such kind of theft, bio-metrics plays a dominant role, which include face recognition, iris recognition and fingerprint recognition among all of these fingerprint provides high level of abstraction to the user security. In this paper we have done comparison of various image enhancements methods and discussed classification of fingerprint recognition with some machine learning techniques like Random Forest, SVM, Naive Bayes, Radial Basis Function network algorithms along with some deep learning algorithms like Convolutional neural network. Index Terms —Fingerprint Recognition, Random Forest, SVM, Naive bayes, Radial Basis Function (RBF), Convolutional Neural Network(CNN)