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Accessing Application through Palm Print Detection


Kanchan Dhuri , vidyalankar Institute of Technology; Shalaka Sonawane, Vidyalankar Institute Of Technology; Puja Manjrekar, Vidyalankar Institute Of Technology; Shweta Naiskar, Vidyalankar Institute Of Technology


Palm Print, Palm Print Detection


a biometric system is essentially a pattern recognition system that recognizes the person based on a feature vector derived from specific or unique characteristics that the persons possess. But Palm print recognition being one of the important aspects of physiological biometric technology and it is one of the reliable and successful identification methods. In this paper several existing biometrics systems have been studied and analyzed. The main focus of this paper is to provide simple approach to preprocessing and feature extraction from region of interest of palm print. The available databases have also been analyzed and the most efficient of all have been used for the development of the proposed system. This paper proposes a fast and efficient palm print identification method for a available database. System preprocesses the images by converting it into gray scale format. It takes region of interest and then smoothen the image using Gaussian filter. Palm prints features are extracted with filter and matched with Hamming distance. Experiments are done with palm print database. Experimental results show that the proposed method can be more efficient that any of the existing methods. We have used hamming distance algorithm to identify and match the images. This increases efficiency of our system.

Other Details

Paper ID: IJSRDV5I21212
Published in: Volume : 5, Issue : 2
Publication Date: 01/05/2017
Page(s): 1265-1267

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