Enhanced Face Matching Technique based on SURF and Neural Network

Volume: 3    Issue: 7

Year of Publication: 2016

Pages: (15-20)

Authors: AJAY KUMAR, Ms. NAVDEEP KAUR

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Abstract

Face recognition is one kind of biometric technology that can be used to monitor people without their interaction. Controlled environments such as banks and military installations and even airports need to be secure these days. And can able to identify threats and provide access to only authorized users. There are different biometrics present on the basis of which the security can be enhanced like finger scan, iris scan, palm print, face recognition, etc. Face recognition is a biometric, which offers the possibility to identification, without any co-operation from the person and does not require an expert to interpret the comparison results. This paper proposed new system for face recognition. In this method, firstly pre-processing is done on both the input image and on all the images stored in the database. Secondly, face feature from each image is extracted using image processing operation. At last neural network and SURF is used. We have made diverse model of neural network in view of hidden layer and SURF determination of preparing calculation and setting the distinctive parameter for preparing. Here all tests are done on face database. Diverse gatherings of preparing and testing dataset give distinctive results.

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Keywords

Face Matching Technique, SURF and Neural Network.