Development of novel architecture to improve accuracy for signature verification-Reference-Cited by-同舟云学术

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Development of novel architecture to improve accuracy for signature verification

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:RECENT ADVANCES IN SCIENCES, ENGINEERING, INFORMATION TECHNOLOGY & MANAGEMENT
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Author:

Moud Deepak,Jain Rekha

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0154449

Reference18 articles.

1. Off-line signature verification by the tracking of feature and stroke positions

2. B. Fang and Y. Y. Tang, “Reduction of feature statistics estimation error for small training sample size in offline signature verification,”(Lecture Notes in Computer Science 3072), in Proc. 1st Int. Conf. Biometric Authentication (ICBA 2004)

3. D. Zhang and A. K. Jain, Eds. Berlin, Germany: Springer-Verlag, pp. 526–532. [34]

4. Off-line signature verification based on geometric feature extraction and neural network classification

5. Offline geometric parameters for automatic signature verification using fixed-point arithmetic

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