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A Probabilistic Approach for Palm Print Recognition using Edge Detection for Specific Segmentation


Neha Gupta , Swami Devi Dyal Institute of Engineering and Technology


Biometrics, Palm Print Recognition, PCA, ROI


Security system plays a wide range of impact in real world life. The term “biometrics” refer to the same. Biometrics mainly deals with palm print recognition, finger print recognition, face recognition etc. In real life, accurate authentication of any person is quite important for security point of view. The proposed work mainly deals with palm print recognition system. For the sake of this the database collected from various aspects and some from IIT database of palm images. In order to extract the image features the image quality is so important. Without the accurate computations of facial features the robustness of the approaches will also renders down. Thus even the best recognition algorithm deteriorates as the quality of the image decline. In the proposed work PCA with proposed features were introduced and further it is compared to ROI algorithm for entire dataset. Moreover, comparison evaluation was made on several metrics like PSNR, RMSE and Minutiae points. At last but not least the efficacy of proposed work found to be better as compare to ROI algorithm.

Other Details

Paper ID: IJSRDV4I70589
Published in: Volume : 4, Issue : 7
Publication Date: 01/10/2016
Page(s): 912-916

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