Offline writer verification based on forensic expertise: Analyzing multiple characters by combining the shape and advanced pen pressure information-Reference-Cited by-同舟云学术

Offline writer verification based on forensic expertise: Analyzing multiple characters by combining the shape and advanced pen pressure information

Published:2017 Issue:2 Volume:22 Page:61-75
ISSN:1880-1323
Container-title:Japanese Journal of Forensic Science and Technology
language:en
Short-container-title:Jpn. J. Forensic. Sci. Tech.

Author:

Okawa Manabu¹,Yoshida Kenichi²

Affiliation:

1. Criminal Investigation Laboratory, Metropolitan Police Department

2. Graduate School of Business Sciences, University of Tsukuba

Publisher

Japanese Association of Forensic Science and Technology

Subject

General Medicine

Link

https://www.jstage.jst.go.jp/article/jafst/22/2/22_731/_pdf

Reference36 articles.

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2. 2) Impedovo D. and Pirlo G., Automatic signature verification: The state of the art, IEEE Trans. Syst., Man, Cybern., Part C: Applications and Reviews, 38, (5), 609-635, 2008.

3. 3) Okawa M., Offline Signature Verification Based on Bag-of-Visual Words Model Using KAZE Features and Weighting Schemes. In: Proc. IEEE Conf. Computer Vision Pattern Recognition (CVPR) Workshops (CVPR 2016 Biometrics Workshop). 252-258, 2016.

4. 4) Okawa M., Vector of Locally Aggregated Descriptors with KAZE Features for Offline Signature Verification. In: Proc. 5th IEEE Global Conf. Consumer Electronics (GCCE2016). 435-439, 2016.

5. 5) Jain A. K., Nandakumar K. and Ross A., 50 years of biometric research: Accomplishments, challenges, and opportunities, Pattern Recognit. Lett., 79, 80-105, 2016.

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