Fingerprint Verification and Identification Based on Local Geometric Invariants Constructed from Minutiae Points and Augmented with Global Directional Filterbank Features-Reference-Cited by-同舟云学术

Fingerprint Verification and Identification Based on Local Geometric Invariants Constructed from Minutiae Points and Augmented with Global Directional Filterbank Features

Published:2014 Issue:6 Volume:E97.D Page:1599-1613
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

PINTAVIROOJ Chuchart¹,S. COHEN Fernand²,IAMPA Woranut¹

Affiliation:

1. Department of Electronics, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang

2. Department of Electrical and Computer Engineering, Drexel University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E97.D/6/E97.D_1599/_pdf

Reference53 articles.

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2. [2] B. Moreno, A. Sanchez, and J.F. Velez, “On the use of outer ear images for personal identification in security applications,” Proc. IEEE 33rd Annu. 1999 Int. Carnahan Conf. Security Technology, pp.469-476, Madrid, Oct. 1999.

3. [3] Y. Gao and M.K.H. Leung, “Face recognition using line edge map,” IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.6, pp.764-779, June 2002.

4. [4] M.S. Alam and M. Akhteruzzaman, “Real time fingerprint identification,” Proc. IEEE Nat. Aerospace and Electronics Conf., NAECON 2000, pp.434-440, Dayton, OH, Oct. 2000.

5. [5] C.S. Lee and A. Elgammal, “Gait style and gait content: Bilinear models for gait recognition using gait re-sampling,” Proc. 6th IEEE Int. Conf. Automatic Face and Gesture Recognition, pp.147-152, May 2004.

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