Signature Recognition Using Clustering Techniques: Vector Quantization based Approach for Static Signature Recognition - Softcover

Bharadi, Vinayak; Kekre, Hemchandra

Softcover

ISBN 10: 384844755X ISBN 13: 9783848447558

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

Biometric authentication techniques are in high demand for entrance monitoring and security systems. The techniques must be cheap, reliable and, simple. Handwritten signature verification satisfies these requirements. Signature Recognition is a very well known area in Biometrics. Signature of a person is one of the important biometric attribute, has been used for centuries as an authentication measure. In current era signatures are important in business, banking, legal application areas. With the tremendous developments in computer technology and advancements in programming platforms the field of biometrics has seen increments with leaps and bounds. In this book we have discussed an automatic off-line signature verification and forgery detection system based on clustering technique. This system uses the Vector Quantization, Walsh Coefficients, Geometric centers, Grid and Texture features as well as local and Global features of a static handwritten signature.

About this title

About the Author

Dr. V. A. Bharadi has received B.E. Electronics Engg.in 2002 & M. E. Electronics & Telecomm in 2007 from Mumbai University. He has completed Ph.D. in Engineering (Biometrics Authentication Systems) from NMIMS University in 2011. He has worked Over 9 years as a faculty of Electronics & IT Engg. He has published 50+ National & International papers.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 384844755X
• ISBN 13: 9783848447558
• Binding: Paperback
• Number of pages: 180