Universiti Teknologi Malaysia Institutional Repository

The extract region of interest in high-resolution palmprint using 2d image histogram entropy function

Hussein, I. S. and Sahibuddin, S. B. and Nordin, M. J. and Sjarif, N. N. A. (2019) The extract region of interest in high-resolution palmprint using 2d image histogram entropy function. Journal of Computer Science, 15 (5). pp. 635-647. ISSN 1549-3636


Official URL: http://dx.doi.org/10.3844/jcssp.2019.635.647


The segmentation of high-resolution palmprint is has been challenged and the research in this filed is still limited because of variations in location and distortion of these images. To achieve superior recognition result, accurate segmentation of a region of interest is very crucial. Therefore, in this paper, a novel palmprint extraction method has been presented using a 2D image histogram entropy function and mathematical dilation. The proposed method has two phases. The first phase is the binarization image where the histogram of the image will be determined after applying a median filter to remove noise and then calculating the 2D image histogram entropy function. Finally, the maximum entropy that will be the adaptive threshold value to build a binary palmprint image will be selected. The second phase is to extract the ROI, apply a dilation method on the binary image, then dividing the dilate image into four regions and finding four reference points depending on the white percentage and finally the ROI will be extracted. The publically available high-resolution palmprint THUPALMLAB has been used for testing. The result indicates a high percentage of accuracy up to 93%. The findings strongly indicate that the proposed method was able to extract the palm's ROI more consistently. These ROIs will be used in the recognition system instead of whole palmprints and hence assists in improving the performance of a traditional palmprint system. High-resolution palmprint images are highly used in the forensic application.

Item Type:Article
Uncontrolled Keywords:dilation, entropy, ROI
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:90623
Deposited By: Narimah Nawil
Deposited On:30 Apr 2021 07:28
Last Modified:30 Apr 2021 07:28

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