Artificial Intelligence & Robotics Development Journal

Volume 1 , Issue 1, January 2021

Enhanced Region of Interest Extraction method for Finger Vein Images

  • Prof Hindrustum Shaaban
Prof Hindrustum Shaaban
University of kufa

Abstract

Extracting Region of Interest (ROI) is an important step for finger vein recognition system. The purpose of this process is to determine the part of the image that we need for extracting features. In this paper we present an ROI extraction method that overcome the problems of finger rotation and displacement. We first locate the finger midline to be used in correcting the oblique images. We then use a sliding window to determine the Proximal inter phalangeal joint and to further identify the ROI height. Finally, from the corrected image of a certain height, the ROI is obtained through the use of finger edges internal tangents as ROI boundaries. The results prove that our method in a more accurate and effective manner in comparison with the method of [1], and thus enhance the performance of the system.

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References

[1] Yang, L., Yang, G., Yin, Y., & Xiao, R. (2013). Sliding window-based region of interest extraction for finger vein images. Sensors, 13(3), 3799-3815.
[2] Miura, N., Nagasaka, A., & Miyatake, T. (2004). Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification. Machine Vision and Applications, 15(4), 194-203.
[3] Hashimoto, J. (2006, June). Finger vein authentication technology and its future. In VLSI Circuits, 2006. Digest of Technical Papers. 2006 Symposium on (pp. 5-8). IEEE.
[4] Lu, Y., Xie, S. J., Yoon, S., Wang, Z., & Park, D. S. (2013, December). An available database for the research of finger vein recognition. In Image and Signal Processing (CISP), 2013 6th International Congress on (Vol. 1, pp. 410-415). IEEE.
DOI: https://doi.org/10.52098/airdj.20218
Published January 23, 2021
How to Cite
Shaaban, P. H. (2021). Enhanced Region of Interest Extraction method for Finger Vein Images. Artificial Intelligence & Robotics Development Journal, 1(Issue 1), 13-25. https://doi.org/10.52098/airdj.20218

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