Dynamic Signature Recognition using Hybrid Wavelets : Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II

Language: English

Published by LAP LAMBERT Academic Publishing, 2013

3659497215 / 9783659497216

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Biometrics, the word not only generates a spark of interest but it is also an important aspect to trace human expressions. Signature, an expression of this kind portrays a uniqueness which can be captured thus it becomes vital. Signature is a mark of authenticity which can be tampered by observing carefully. Dynamic Signature Recognition is one of the highly accurate biometric traits. Live signature of the person is captured, hence it is possible to have dynamic characteristics of signature for matching purpose. The signature captured by digitizer gives information about dynamic nature of signature and pressure applied while signing. This book is discussing use of Dynamic Signature Recognition using Hybrid wavelets. The technique is fast and gives good accuracy and tested in real time. Hybrid Wavelets are used for feature vector extraction, this is done by multiresolution analysis of the dynamic signatures. Wavelet energy based feature vector is generated and this is to be used for the matching of the signatures. The typical features set consists of x, y, z co-ordinates, Pressure, Azimuth and Altitude points. For performance evaluation we are using Conventional FAR-FRR analysis.…

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Title
Dynamic Signature Recognition using Hybrid Wavelets : Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II
Author
Vikas Singh
Publisher
LAP LAMBERT Academic Publishing
Publication year
2013
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659497215
ISBN 13
9783659497216
Item weight
155 grams
Dimensions
220x150x6 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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