AN APPROACH TO ALIGNING REGIONS OF INTEREST ON INFRARED PALM-DORSUM IMAGES CAPTURED IN CONTACTLESS SCENARIOS

Authors

Chih-Lung Lin, Department of Electronic Engineering, Hwa Hsia University of Technology, New Taipei City, Taiwan, R.O.C Department of Information and Computer Engineering, Chung Yuan ChristianUniversity, Taoyuan City, Taiwan, R.O.CFollow
Hui-Fen Chiang, Department of Digital Multimedia Design, Taipei City University of Science and Technology, Taipei City, Taiwan, R.O.C. 4 Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung City, Taiwan, R.O.C
Hsu-Yung Cheng, Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan, R.O.C
Chih-Wei Kuo, Materials & Electro-Optics Research Division, National Chung-Shan Institute of Science & Technology, Taoyuan City, Taiwan, R.O.C. Department of Electro-Optical Engineering, National United University, Miaoli County, Taiwan, R.O.C.
Jun-Wei Hsieh, Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung City, Taiwan, R.O.C.

Abstract

This paper presents an approach for solving a highly challenging problem in the preprocessing of hand-based biometrics, namely restoring IR palm-dorsum images captured in contactless scenarios and aligning regions of interest (ROIs) in the same regions on the various restored infrared (IR) palm-dorsum images captured from the same palm-dorsum. IR palm-dorsum images captured in contactless scenarios substantially increase the user-friendliness, security and sanitation of hand-based biometrics. However, images captured in contactless scenarios typically exhibit rotation, translation, scale and shear geometric transformations. These geometric transformations significantly reduce the accuracy of hand-based biometrics. An approach used to restore and align ROI on an IR palm-dorsum image is proposed to solve this problem. The proposed approach is based on a two-dimensional affine image transformation scheme used to restore the geometric transformations of the images, and an ROI alignment method based on finger-web positions. Thus, the proposed approach improves the user-friendliness, security, sanitation and accuracy of hand-based biometrics based on features extracted from the ROI. The principal characteristics of the proposed approach are no prior information on IR images being necessary, and no parameters being required to be preset. The experimental results indicated the effectiveness and feasibility of the proposed approach. The proposed approach improves accuracy, user-friendliness, security and sanitation and extends the application of hand-based biometrics for use in security access control systems.

Recommended Citation

Lin, Chih-Lung; Chiang, Hui-Fen; Cheng, Hsu-Yung; Kuo, Chih-Wei; and Hsieh, Jun-Wei (2018) "AN APPROACH TO ALIGNING REGIONS OF INTEREST ON INFRARED PALM-DORSUM IMAGES CAPTURED IN CONTACTLESS SCENARIOS," Journal of Marine Science and Technology: Vol. 26: Iss. 1, Article 7.
DOI: 10.6119/JMST.2018.02_(1).0010
Available at: https://jmstt.ntou.edu.tw/journal/vol26/iss1/7