Items related to Dynamic Signature Recognition using Hybrid Wavelets:...
Dynamic Signature Recognition using Hybrid Wavelets: Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Vikas Singh has completed his Masters in Computer Engg. from Mumbai University in Nov 2013. He is working asfaculty in CMPN Department of Thakur College ofEngg. & Technology, Mumbai, India. Hisresearch domain is Digital Signal & Image Processing.He has published one international paper based onhis research in Dynamic Signature Recognition.
"About this title" may belong to another edition of this title.
Search results for Dynamic Signature Recognition using Hybrid Wavelets:...
Seller Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 92 pp. Englisch. Seller Inventory # 9783659497216
Stock Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Softcover
Seller: Books Puddle, Woodside, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 92. Seller Inventory # 26127040910
Seller Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh VikasVikas Singh has completed his Masters in Computer Engg. from Mumbai University in Nov 2013. He is working asfaculty in CMPN Department of Thakur College ofEngg. & Technology, Mumbai, India. Hisresearch domain is Digital Si. Seller Inventory # 5160105
Buy New
£ 39.62
£ 41.47 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand pp. 92 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Seller Inventory # 132498001
Buy New
£ 75.72
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND pp. 92. Seller Inventory # 18127040900
Seller Image
Dynamic Signature Recognition using Hybrid Wavelets
Published by
LAP LAMBERT Academic Publishing Dez 2013, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Seller Inventory # 9783659497216
Seller Image
Dynamic Signature Recognition using Hybrid Wavelets : Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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. Seller Inventory # 9783659497216
Seller Image
Dynamic Signature Recognition using Hybrid Wavelets | Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II
Published by
LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659497215
ISBN 13: 9783659497216
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Dynamic Signature Recognition using Hybrid Wavelets | Multidimensional Feature Vector Analysis using Hybrid Wavelets Type I & II | Vikas Singh (u. a.) | Taschenbuch | 92 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659497216 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 105537042