Handwritten signature verification by using a six-axis motion sensor and SVM-Reference-Cited by-同舟云学术

Handwritten signature verification by using a six-axis motion sensor and SVM

Published:2019-09-09 Issue: Volume: Page:
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Container-title:Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
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Author:

Cheng Chang-Chieh¹,Chen Yi-Chi¹,Ching Yu-Tai¹

Affiliation:

1. National Chiao Tung University, Hsinchu, Taiwan

Funder

Ministry of Science and Technology, R.O.C

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3341162.3343840

Reference12 articles.

1. Principal component analysis

2. Dynamic Signature Verification System Based on One Real Signature

3. Gail L. Grant. 1997. The Understanding Digital Signatures. McGraw-Hill Inc. New York NY USA. Gail L. Grant. 1997. The Understanding Digital Signatures . McGraw-Hill Inc. New York NY USA.

4. Alan Mccabe and Jarrod Trevathan. 2009. Handwritten Signature Verification Using Complementary Statistical Models. Journal of Computers 4 (07 2009). Alan Mccabe and Jarrod Trevathan. 2009. Handwritten Signature Verification Using Complementary Statistical Models. Journal of Computers 4 (07 2009).

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