Signature Recognition &Verification Using ANN
Vaishali M. Deshmukh1, Sachin A. Murab2

1Vaishali M. Deshmukh, Department of Computer Science & Engineering, Sant Gadge Baba Amaravati University, P.R.M.I.T. & R.Badnera, Amravati (Maharashtra), India.
2Sachin A. Murab, Department of Information Technology, Sant Gadge Baba Amaravati University, P.R.M.I.T. & R. Badnera, Amravati (Maharashtra), India.

Manuscript received on 15 November 2012 | Revised Manuscript received on 25 November 2012 | Manuscript Published on 30 November 2012 | PP: 6-8 | Volume-1 Issue-6, November 2012 | Retrieval Number: E0312101612/12©BEIESP
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Abstract: The signature of a person is an important biometric attribute of a human being which can be used to authenticate human identity. There are various approaches to signature recognition with a lot of scope of research. In this paper, off-line signature recognition & verification using neural network is proposed, where the signature is captured and presented to the user in an image format. Signatures are verified based on parameters extracted from the signature using various image processing techniques. This paper presents a proposed method for verifying offline-signatures. A Neural Network will be used for verifying signatures
Keywords: Image Preprocessing, Feature Extraction; Neural Network Training And Testing; Signature Verification And Recognition.

Scope of the Article: Image Preprocessing