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,


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.


[1] D. S. Huang, W. Jia, D. Zhang, “Palm Print Verification Based Principal Lines,” Pattern Recognition, vol. 41, pp. 1316-1328, 2008.
[2] Komal Kashyap, Ekta Tamrakar, “Accurate Personal Identification using Left and Right Palmprint Images Based on Anfis Approach,” International Journal of Mineral Processing and Extractive Metallurgy, 2017.
[3] Z.Sun, T.Tan, Y.Wang, “Ordinal Palm Print Process for Personal Identification,” 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) , vol. 1, 2015.
[4] Shilpa M, Preethi S, Dr Suresh L, “Combining Left and Right Palm Print Images for Accurate Identification,” International Journal of Innovative Research in Computer and Communication Engineering, vol. 4, no. 4, 2016.
[5] A.K. Jain and J. Feng, “Latest Palmprint Matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE, vol. 31, 2009.
[6] K.Y . Rajput, Melissa Amanna, Sharma, “Palmprint Recognition using Image Processing,” International Journal of Computing Science and Communication Techniques, vol. 3 , 2011.
[7] D. S. Huang, W. Jia, D. Zhang, “Palmprint Verification Based Principal Lines,” Pattern Recognition, vol. 41, pp. 1316-1328, 2008.
[8] S. Kanchana and G.Balakrishnan, “Palm-Print Pattern Matching Based on Features Using Rabin-Karp for Person Identification,” The Scientific World Journal , 2015.
[9] N.B Maheshkumar and K.Premalatha, “Palmprint Authentication System Based on Local and Global Feature Fusion Using Dost,” Communications on Applied Electronics, vol. 2, no. 6, 2015.
[10] Zhiheng Zhu, Xinu Chen, Youchao Tu, “Palmprint Image Acquistion and Analysis System Based on IOT Technology,” Open Access Library Journal, 2020. 
[11] Hsne-Ai-Walid, Tasnia Sadia, Anika Tahsin, “Palm Print Recognition System using Naive Bayes Classifier and Image Processing Tools,” Communications on Applied Electronics (CAE) – ISSN: 2394-4714 Foundation of Computer Science Fcs, New York, USA, vol. 2, no. 6, 2015.
[12] Dr.T.C. Manjunath, “Detection of Shapes of Objects Using Sophisticated Image Processing Techniques,” International Journal of Computer Science & Emerging Technologies, vol. 1, 2010.
[13] Liang Wang and Xin Geng, “Behavioral Biometrics for Human Identification,” Medical Information Science Reference, 2010.
[14] N.V. Boulgouris, Konstantinos N. Plataniotis and E.M.Tzanakou, Biometrics: Theory, “Methods and Applications, “ W I L E Y-IEEE Press, 2009.
[15] Arun A. Ross, Karthik Nandakumar and Anil K. Jain, “Handbook of Multibiometrics,” International Series on Biometrics, Springer, 2006.
[16] James Wayman and Anil Jain, “Biometric Systems: Technology,” Design and Performance Evaluation, Springer, 2004.
[17] Samir Nanavati, Michael Thieme and Raj Nanavati, “Biometrics: Identity Verification in a Networked World,” John Wiley & Sons, 2002.
[18] Anil Jain, Ruud Bolle and Sharath Pankanti, Biometrics: Personal Identification in Networked Society, Boston: Kluwer Academic, 1999.
[19] Kasturika B.Ray and Rachita Mishra, “Palmprint as a Biometric Identifier,” International Journal of Electronics and Communication Technology, 2011.
[20] D. Zhang, Wai-Kin Kong, J. You and M. Wong, “Online Palmprint Identification,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 9, 2003.
[21] N. Duta, A.K. Jain, K.V. Mardia, “Matching of Palmprints,” Pattern Recognition Letters, pp. 477-485, 2002.
[22] W.X. Li, D. Zhang, S.Q. Xu, “Palmprint Recognition Based on Fourier Transform,” Journal of Software, vol. 13, no. 5, 2002.
[23] X.Q. Wu, K.Q. Wang, and D. Zhang, An Approach to Line Feature Representation and Matching for Palmprint Recognition, Department of Computing, The Hong Kong Polytechnic University, 2004.
[24] A.K. Jain, N. Duta, “Deformable Matching of Hand Shapes for User Verification,” International Conference on Image Processing, vol. 4 , pp. 24-28, 1999.
[25] C. C. Han, C. L. Lin, K. C. Fan, “Personal Authentication using Palm-Print Features,” Pattern Recognition, vol. 36, no. 2, pp. 371-381, 2003.