Implementation of Biometric Recognition Using Off-Line Signature: Swarm Intelligence Implementation on Behavioural Biometric and Questioned Document Device - Softcover
Synopsis
**Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. **Signature is highly preferable with respect to Collectability and Acceptability. Therefore the studies on signature verification have a great importance. Much progress has been performed in SV recent years. However a model based statistical approach is not available. **Questioned documents have been suspected of being deceitful or whose source has not been known. There may be a variety of reasons for questioning a document. “BIO-BOX” is represented with applications of the questioned document analysis.
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About the Author
M.T.Das received his B.S. degree in Mechanical Engineering from Gaziantep University, Turkey in 2000, his M.S. degree in 2003 and Ph.D. degree in 2008. He was with Gaziantep University’s Mechanical Engineering Department from 2000–2008 as a research assistant. Since December 2008, he has been with the Roketsan Company Elmadag, Ankara.
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Implementation of Biometric Recognition Using Off-Line Signature
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. Signature is highly preferable with respect to Collectability and Acceptability. Therefore the studies on signature verification have a great importance. Much progress has been performed in SV recent years. However a model based statistical approach is not available. Questioned documents have been suspected of being deceitful or whose source has not been known. There may be a variety of reasons for questioning a document. BIO-BOX is represented with applications of the questioned document analysis. 108 pp. Englisch. Seller Inventory # 9783659210020
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Implementation of Biometric Recognition Using Off-Line Signature
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Implementation of Biometric Recognition Using Off-Line Signature
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -\*\*Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. \*\*Signature is highly preferable with respect to Collectability and Acceptability. Therefore the studies on signature verification have a great importance. Much progress has been performed in SV recent years. However a model based statistical approach is not available. \*\*Questioned documents have been suspected of being deceitful or whose source has not been known. There may be a variety of reasons for questioning a document. 'BIO-BOX' is represented with applications of the questioned document analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Seller Inventory # 9783659210020
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Implementation of Biometric Recognition Using Off-Line Signature : Swarm Intelligence Implementation on Behavioural Biometric and Questioned Document Device
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659210021
ISBN 13: 9783659210020
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Biometric Technologies (BT) are important multidisciplinary research areas targeted at automatic identity verification applications. Verification processes especially based on behaviour do not show 100 % verification due to some environmental and personal differences in BT. Signature imitation is one of the typical inverse problems of graphology. Thus, signature verification (SV) ,which has a special importance in BT is a widely studied area of research in the literature. Swarm intelligence and Neural Network is adapted for verification process. Signature is highly preferable with respect to Collectability and Acceptability. Therefore the studies on signature verification have a great importance. Much progress has been performed in SV recent years. However a model based statistical approach is not available. Questioned documents have been suspected of being deceitful or whose source has not been known. There may be a variety of reasons for questioning a document. BIO-BOX is represented with applications of the questioned document analysis. Seller Inventory # 9783659210020
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Implementation of Biometric Recognition Using Off-Line Signature | Swarm Intelligence Implementation on Behavioural Biometric and Questioned Document Device
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Taschenbuch. Condition: Neu. Implementation of Biometric Recognition Using Off-Line Signature | Swarm Intelligence Implementation on Behavioural Biometric and Questioned Document Device | M. Taylan Das (u. a.) | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659210020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106325972