Palm Print Recognition Using Curve let Transform

( Vol-1,Issue-3,June 2015 )

Author(s): Mrs. Sampada A. Dhole , Prof.Dr.V.H.Patil

Total View : 1175
Downloads : 164
Page No: 27-32
DOI:

Keywords:

canny edge detection, border tracing, PCA, Curvelet transform, Euclidian distance.

Abstract:

In the era of Information Technology, openness of the information is a major concern. As the confidentiality and integrity of the information is critically important, it has to be secured from unauthorized access. Traditional security and identification are not sufficient enough; people need to find a new authentic system based on behavioral & physiological characteristics of person which is called as Biometric. Palm print recognition gives several advantages over the other biometrics such as low resolution, low cost, non-intrusiveness and stable structure features. Now a days Palm print based personal verification system is used in many security application due to its ease of acquisition, high user acceptance and reliability. Various approaches which deal with palm recognition are texture approach, line approach and appearance approach. By using texture approach it is possible to obtain texture sample with low resolution and texture is much more stable as compare to line and appearance. This paper is aimed to analyze the performance of palm print recognition systems using Curvelet features and for dimension reduction PCA is used.

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