• Nurzalina Harun
  • Wan Enyzarina Wan Abd Rahman
  • Sitizaleha Zainal Abidin
  • Puwira Jaya Othman
Keywords: Biometric, Palmprint Extraction, Region of Interest, Creases.


Palmprint trait has emerged as a means of new and practical biometric recognition system. Palmprint is divided into three regions known as interdigital, hypothenar and thenar. These regions contain a bundle of patterns such as creases, ridges, minutiae and pores that are believed to be unique and distinct in establishing the identity of a person. The process of extracting the palmprint ROI is a crucial and important initial process for personal identification. In obtaining palmprint ROI, there are numerous algorithms that have been proposed by past researchers. However, to the best of our knowledge, all of these developed algorithms only extracted a small part of the palmprint region. Due to this limitation, some important features that are used as an individual identification have been neglected. In this research, a modified algorithm for extracting the palmprint ROI has been proposed. The performance of the proposed algorithm is compared to three other existing algorithms. These four algorithms are then tested on palmprints in order to identify the size of ROI area and the features extracted. The result is encouraging. It shows that the proposed algorithm has successfully extracted a larger ROI compared to existing algorithms. These results are useful in providing prior information for future development of biometric recognition system.


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Zhang, D., Kong, W. K., You, J. and Wong, M. “Online palmprint identification.†IEEE Transactions on Pattern Analysis and Machine Intelligence 25, no. 9 (2003): 1041-1050.

Babich, A. (2012). Biometric Authentication. Types of biometric identifiers.Bachelor’s Thesis, Degree programme in Business Information Technology, HAAGA - HELIA University of Applied Sciences.

Anitha, M. L. and Radhakrishna Rao, K. A. “An efficient approach for classification of palmprint images using heart line features.†2015 International Conference om Emerging Research in Electronics, Computer Science and Technology (ICERECT).

Saleem, S. and Ullah, H. (2014). Security consideration and recommendations in computer-based testing.Scientific World Journal.

Apampa, K., Wills, G., and Argles, D. “User security issues in summative e-assessment security.†International Journal Digital Society 1, no. 2 (2010): 135-147.

Xu, Y., Fei, L., and Zhang, D. “Combining left and right palmprint images for more accurate personal identifications.†IEEE Transactions Image Processing 24 (2015): 549-559.

Jain, A. K. and Feng, J. “Latent palmprint matching.†IEEE Transactions Pattern Analysis Machine Intelligent 31, no. 6 (2009): 1032-1047.

Ashbaugh, D. (1999) Quantitative-qualitative friction ridge analysis: An introduction to basic and advanced ridgeology. CRC Press.

Liu, E., Jain, A. and Tian, J. “A coarse to fine minutiae-based latent palmprint matching.†IEEE Transactions Pattern Analysis Machine Intelligent 35, (2013): 2307-2322.

Fei, L., Xu, Y., and Zhang, D. “Half-orientation extraction of palmprint features.†Pattern Recognition Letters 69, no. 1 (2016): 35-41.

Li, W., Zhang, B., Zhang, L, and Yan, J. “Principal line-based alignment for palmprint recognition.†IEEETransactions on Systems, Man, Cybernatics 42, no. 6 (2012): 1491-1499.

Anwar, A., Putra, D., and Cahyawan, A. “Palmprint verification using time series method.â€TELKOMNIKA 11, no. 4 (2013): 749-758.

Morales, A., Gonzalez, E., and Ferrer, M. A. “On the feasibility of interoperable schemes in hand biometrics.†Sensors 12, no. 12 (2012): 1352-1382.

Lemes, R. P.,Bellon, O. R. P., Silva, L., and Jain, A. K. “Biometric recognition of newborns: Identification using palmprints.†International Joint Conference Biometrics,(2011): 1-6.

Han, C. C., Cheng, H. L., Lin, C. L., and Fan, K. C. “Personal authentication using palm-print features.†Journal of Pattern Recognition 36, no. 2 (2003): 371-381.

Badrinath, G. S., Naresh, K. K., and Gupta, P. “Palmprint based verification system robust to occlusion using low-order zernike moments of sub-images.†Journal Telecommunication Systems 47, no. 3 (2011): 275-290.

Harun, N., Rahman, W. E. Z. W. A., Abidin, S. Z. Z., and Othman, P. J. “New algorithm of extraction of palmprint region of interest (ROI).†Journal of Physics: Conference Series 890 012024 (2017).

Michael, G. K. O., Connie, T., Teoh, A., and Ngo, D. “Automated hand geometry verification system based on salient points.†The 3rd International Symposium on Communications and Information Technologies (2003): 720-724.

How to Cite
Harun, N., Abd Rahman, W. E. W., Abidin, S. Z., & Othman, P. J. (2018). MODIFIED ALGORITHM OF EXTRACTION OF REGION OF INTEREST (ROI) FOR PALMPRINT IDENTIFICATION. COMPUSOFT: An International Journal of Advanced Computer Technology, 7(11). Retrieved from