Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach-Reference-Cited by-同舟云学术

Computer Vision-Based Signature Forgery Detection System Using Deep Learning: A Supervised Learning Approach

Published:2022-07-08 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
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Author:

Reyes Ryan C.¹,Polinar Myriam J.²,Dasalla Richardson M.³,Zapanta Godofredo S.⁴,Melegrito Mark P.⁵,Maaliw Renato R.⁶

Affiliation:

1. Technological University of the Philippines,Department of Electrical Engineering,Manila,Philippines

2. Bohol Island State University,College of Engineering and Architecture,Tagbilaran City,Philippines

3. Ifugao State University,College of Computing Sciences,Ifugao,Philippines

4. Pamantasan ng Lungsod ng Pasig,College of Engineering,Pasig,Philippines

5. Technological University of the Philippines,Department of Electronics Engineering,Manila,Philippines

6. University Lucban,College of Engineering Southern Luzon State,Quezon,Philippines

Publisher

IEEE

Link

Reference26 articles.

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2. Offline-Signature Verification System using Transfer Learning VGG-19;International Journal of Research In Science & Engineering;2022-09-29