BIOMETRIC AUTHENTICATION FOR ATM SECURITY

Electronics and Communication Engineering

To implement the biometric security system based on finger vein and face recognition. A biometric system is essentially a pattern recognition system that uses of biometric traits to recognize individuals. The most unique feature of a person is finger vein even it is different for the twins. PCA (Principal Component Analysis) transformation based technique applied for finger vein technology to analyze the feature of vein. PCA is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences. PCA is a powerful tool for analyzing data by finding the patterns in the data, and compress the data that is by reducing the number of dimensions, without much loss of information. Face recognition is the actual task of recognizing the face by analyzing the part of the imaged identified. The algorithm used for face recognition is Linear Discriminant Analysis for recognizing and extracting the various features of the given input face image. Linear Discriminant Analysis (LDA) has been successfully applied to face recognition which is based on a linear projection from the image space to a low dimensional space by maximizing the between class scatter and minimizing the within-class scatter. The feature of the vein is compared with the image database and it is recognized. Face recognition is for high security and also it can be used when the finger vein is damaged for a person for easy cash transaction.

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