Static Signature Recognition using Morphology: Morphological Image Processing Applied for Static Signature Recognition - Couverture souple

Bharadi, Vinayak; Ambardekar, Amol; Kekre, Hemchandra

 
9783848421848: Static Signature Recognition using Morphology: Morphological Image Processing Applied for Static Signature Recognition
Couverture souple
ISBN 10 : 3848421844 ISBN 13 : 9783848421848
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Morphology is the study of external features of an object. In image processing we use the morphological features based on the shape of the object, from this a template is created and used for matching purpose. We have applied this approach for the problem of handwritten signature recognition. The static signature recognition is simple and cost effective and as large number of commercial transactions are still done on paper, handwritten signatures are widely used for authorization of the documents. Hence the static signature recognition is an important aspect of document authorization using biometric authentication. Static signature is captured from the paper using image scanner, we have only static information such as shape, strokes, orientation available with us. We use techniques based on morphological operations such as erosion, dilation to generate the template and measure the authenticity of the signature.

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Présentation de l'éditeur

Morphology is the study of external features of an object. In image processing we use the morphological features based on the shape of the object, from this a template is created and used for matching purpose. We have applied this approach for the problem of handwritten signature recognition. The static signature recognition is simple and cost effective and as large number of commercial transactions are still done on paper, handwritten signatures are widely used for authorization of the documents. Hence the static signature recognition is an important aspect of document authorization using biometric authentication. Static signature is captured from the paper using image scanner, we have only static information such as shape, strokes, orientation available with us. We use techniques based on morphological operations such as erosion, dilation to generate the template and measure the authenticity of the signature.

Biographie de l'auteur

Dr. V. A. Bharadi has received B.E. Electronics Engg. in 2002 & M. E. Electronics & Telecomm. in 2007 from Mumbai University. He has completed Ph.D. in Engineering (Biometrics Authentication Systems) from NMIMS University in 2011. He has worked Over 8years as a faculty of Electronics & IT Engg. He has published 50+ National & International papers.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848421844
ISBN 13 
9783848421848
Reliure
Broché
Nombre de pages
92
Coordonnées du fabricant
non disponible
Personne responsable
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