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Abstract

Face recognition, that has a lot of applications in modern life, is still an attractive research for pattern recognition community. Due to the similarity of human faces, face recognition presents a significant challenge for pattern recognition researchers. Hausdorff distance is an efficient parameter for measuring the similarity between objects. Line Hausdorff distance (LHD) technique, which is the applying of Hausdorff distance for face recognition, gives high accuracy in comparing with common methods for face recognition. For fast screen techniques such as LHD, the computational cost is a key issue. A modified Line Hausdorff distance (MLHD) is proposed in this paper. The performance of the proposed method is compared with LHD method for face recognition in various conditions: 1) ideal condition of face, 2) varying lighting conditions, 3) varying poses and 4) varying face expression. It is very encouraging that the proposed method gives lower computational cost than LHD while keeping the accuracy of face recognition equal to the LHD method.



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Article Details

Issue: Vol 20 No K3 (2017)
Page No.: 152-158
Published: Jun 30, 2017
Section: Engineering and Technology - Research article
DOI: https://doi.org/10.32508/stdj.v20iK3.1106

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Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Dang, C., & Do, T. (2017). A modification of line Hausdorff distance for face recognition to reduce computational cost. Science and Technology Development Journal, 20(K3), 152-158. https://doi.org/https://doi.org/10.32508/stdj.v20iK3.1106

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