Human Signature Verification Using Machine Vision : Statistical and neural network approaches

Language: English

Published by Noor Publishing, 2016

3330801549 / 9783330801547

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

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nach der Bestellung gedruckt Neuware - Printed after ordering - Signature forgery still represents a great challenge to financial institutions, which makes accurate signature verification inevitable. On the other hand, computer technology and information processing areas witness remarkable qualitative improvements associated with significant costs reduction. This boosted the usage of machine vision techniques. In this research, an intensive work was carried out on offline signatures to establish a system for verifying them using their digital images. Signature morphological structure was utilized to explore characteristics associated with different signatures. Signature verification algorithms were developed using binary images of signatures employing two different verification approaches, one was based on statistical techniques, while the other was based on neural networks (NN) techniques. A signature database was built by collecting 840 signatures from 66 volunteers, and was used for training the statistical and NN classifiers and subsequently for testing purposes. Research results indicated that the statistical classifiers' outcomes were highly satisfactory whereas the NN classifiers' outcomes were not of the same quality.…

Seller Inventory # 9783330801547

Title
Human Signature Verification Using Machine Vision : Statistical and neural network approaches
Author
Omer Al-Amoudi
Publisher
Noor Publishing
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330801549
ISBN 13
9783330801547
Item weight
191 grams
Dimensions
220x150x8 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 39.87US$ 51.26
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Einbeck, Germany 37574