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Palmprint Region of Interest Cropping Based on Moore-Neighbor Tracing Algorithm

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Abstract

In recent years, several algorithms have been proposed to extract the region of the interest (ROI) from the palmprint, by implementing morphological operations (e.g., erosion and dilation), gradient information, or edge detection algorithms to trace the boundary of the palm; which have their shortcomings in the accuracy of tracing the boundary. In the proposed method, the Moore-Neighbor tracing algorithm is implemented to trace the boundary of the palm which shows stability in extracting the boundary of the palm. The PolyU palmprint database II was used to verify the effectiveness of the proposed method. The results indicate high accuracy, of up to 98%, in extracting the boundary and successfully constructing a robust ROI cropping system.

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Acknowledgements

This research was funded by Ministry of Education Malaysia under the Fundamental Research Grant Scheme (FRGS) grant no:9003-00583 and partially support by the graduate assistant (GA) fund offered by Universiti Malaysia Perlis (UniMAP) with reference number: UniMAP/PPPI/1-18(71).

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Authors and Affiliations

  1. School of Computer and Communication Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia

    Thulfiqar H. Mandeel, Muhammad Imran Ahmad, Said Amirul Anwar & Ruzelita Ngadiran

  2. School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia

    Mohd Nazrin Md Isa

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  1. Thulfiqar H. Mandeel
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  2. Muhammad Imran Ahmad
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  3. Mohd Nazrin Md Isa
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  4. Said Amirul Anwar
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  5. Ruzelita Ngadiran
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Correspondence to Muhammad Imran Ahmad.

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Mandeel, T.H., Ahmad, M.I., Md Isa, M.N. et al. Palmprint Region of Interest Cropping Based on Moore-Neighbor Tracing Algorithm. Sens Imaging 19, 15 (2018). https://doi.org/10.1007/s11220-018-0199-6

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