Signature Verification Using A "Siamese" Time Delay Neural Network
Abstract
This paper describes the development of an algorithm for verification of signatures written on a touch-sensitive pad. The signature verification algorithm is based on an artificial neural network. The novel network presented here, called a “Siamese” time delay neural network, consists of two identical networks joined at their output. During training the network learns to measure the similarity between pairs of signatures. When used for verification, only one half of the Siamese network is evaluated. The output of this half network is the feature vector for the input signature. Verification consists of comparing this feature vector with a stored feature vector for the signer. Signatures closer than a chosen threshold to this stored representation are accepted, all other signatures are rejected as forgeries. System performance is illustrated with experiments performed in the laboratory.
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Siamese Network shares weights for both branches, and corresponding similar or unique output features are derived depending on the inputs.
“The characteristic of this structure is the shared weights for both branches, and corresponding similar or unique output features are derived depending on the inputs to the branches accordingly.”
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- Authors
- BROMLEY, J., BENTZ, J. W., BOTTOU, L., GUYON, I., LECUN, Y., MOORE, C., SÄCKINGER, E., & SHAH, R.
- Affiliations
- AT&T (United States) (US)
- NCR (United States) (US)
- Venue
- International Journal of Pattern Recognition and Artificial Intelligence
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 1993-08
- Volume
- 07
- Issue
- 04
- Pages
- 669-688
- ISSN
- 0218-0014 (ISSN-L)
- 1793-6381
- OpenAlex
- W2171590421
- Cited by
- 2,077
- References
- 0
- Citations by year
- 2026: 66 · 2025: 141 · 2024: 203 · 2023: 290 · 2022: 320 · 2021: 301 · 2020: 212 · 2019: 175 · 2018: 122 · 2017: 94 · 2016: 64 · 2015: 26 · 2014: 9 · 2013: 7 · 2012: 2
- FWCI
- 0.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Pattern Recognition and Artificial Intelligence (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Handwritten Text Recognition Techniques
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Keywords
- signature verification, Siamese network, time-delay neural networks, feature vectors, forgery detection, biometric authentication
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