Dynamic Signature Recognition Using by Singh Vikas (8 results)

Condition: New. pp. 92.

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.…

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.…

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.

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. …

Condition: New. PRINT ON DEMAND pp. 92.

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.…

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.…