Thai Automatic signature verification System Employing Textural Features-Reference-Cited by-同舟云学术

Thai Automatic signature verification System Employing Textural Features

Published:2018-07-19 Issue:6 Volume:7 Page:615-627
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Das Abhijit¹²³,Suwanwiwat Hemmaphan⁴,Ferrer Miguel A.⁵,Pal Umapada⁶,Blumenstein Michael²

Affiliation:

1. Institute for Integrated and Intelligent Systems ICT, Griffith UniversityQueenslandAustralia

2. School of SoftwareUniversity of Technology SydneySydneyAustralia

3. STARS Inria Sophia Antipolis – MéditerranéeSophia AntipolisFrance

4. Information Technology AcademyJames Cook UniversityQueenslandAustralia

5. IDeTICUniversity of Las Palmas de Gran CanariaLas PalmasSpain

6. Computer Vision and Pattern Recognition UnitIndian Statistical InstituteKolkataIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2017.0218

Reference19 articles.

1. Face Recognition

2. Iris recognition using a scalar based template in eigen‐space;Das A.;Int. J. Comput. Sci. Telecommun.,2012

3. Multi‐script versus single‐script scenarios in automatic off‐line signature verification

4. Robustness of Offline Signature Verification Based on Gray Level Features

5. Hindi and English off‐line signature identification and verification;Pal S.;Proc. Int. Conf. Advances in Computing. Advances in Intelligent Systems and Computing Ed,2012

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