Palm Print Recognition Using Texture and Shape Features
|International Journal of Computer Science and Engineering|
|© 2022 by SSRG - IJCSE Journal|
|Volume 9 Issue 2|
|Year of Publication : 2022|
|Authors : M. Rajeshwari, K. Rathika|
How to Cite?
M. Rajeshwari, K. Rathika, "Palm Print Recognition Using Texture and Shape Features," SSRG International Journal of Computer Science and Engineering , vol. 9, no. 2, pp. 1-5, 2022. Crossref, https://doi.org/10.14445/23488387/IJCSE-V9I2P101
Image Processing techniques are used to perform some operations on a digital image to get an enhanced image or extract some features. The biometric system is used everywhere for security and personal identification in today's world. This paper aims to present palm print recognition using image processing techniques. To improve the efficiency of image recognition, during the pre-processing stage, an image must be resized and converted into another colour space. After preprocessing, the retrieved image can be enhanced with the help of a Gaussian filter. The Laplacian of Gaussian technique is used to detect the edges of an image. Then the image is performed using feature extraction methods such as GLCM (Gray Level Co-occurrence Matrix) and Shape and Merged (Texture and Shape) methods. Further, the Statistical measurements are calculated. Euclidean distance is used to retrieve an accurate matching image. The Merged method produces a better result than individual methods. This analysis can be used for criminal, forensic or commercial applications.
Gaussian, LOG, GLCM, Euclidean Distance.
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