Signature verification using a Siamese time delay neural network

Bromley, Jane M.; Guyon, Isabelle; LeCun, Yann; Sackinger, Eduard and Shah, Roopak (1994). Signature verification using a Siamese time delay neural network. In: 7th Annual Neural Information Processing Systems Conference, 29 Nov - 02 Dec 1993, Denver, Morgan Kaufmann Publishers, pp. 737–744.

URL: http://books.nips.cc/papers/files/nips06/0737.pdf

Abstract

This paper describes an algorithm for verification of signatures written on a pen-input tablet. The algorithm is based on a novel, artificial neural network, called a "Siamese" neural network. This network consists of two identical sub-networks joined at their outputs. During training the two sub-networks extract features from two signatures, while the joining neuron measures the distance between the two feature vectors. Verification consists of comparing an extracted feature vector with a stored feature vector for the signer. Signatures closer to this stored representation than a chosen threshold are excepted, all other signatures are rejected as forgeries.

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About

• Item ORO ID
• 39214
• Item Type
• Conference or Workshop Item
• ISBN
• 1-55860-322-0, 978-1-55860-322-6
• Extra Information
• Advances in Neural Information Processing Systems 6
  Edited by Jack D. Cowan, Gerald Tasauro, Joshua Alspector
• Keywords
• "Siamese" neural network; TDNN; time delay neural network
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Copyright Holders
• © 1994 American Telephone and Telegraph Company
• Related URLs
• • http://papers.nips.cc/paper/769-signatur...(Other)
• Depositing User
• Jane M. Bromley