Offline Handwritten Signature Verification Method: Based on Artificial Immune Recognition System and Artificial Neural Network - Couverture souple

Sharma, Reecha; Kaur, Jasmeet

 
9786202060417: Offline Handwritten Signature Verification Method: Based on Artificial Immune Recognition System and Artificial Neural Network
Couverture souple
ISBN 10 : 6202060417 ISBN 13 : 9786202060417
Editeur : LAP LAMBERT Academic Publishing, 2017

Synopsis

Natural immune system offers several fascinating options that motivated the planning of Artificial Immune Systems (AIS) accustomed solve varied issues of engineering and Artificial Intelligence (AI). AIS are significantly thriving in fault detection and diagnosing applications where anomalies like errors and failures are assimilated to viruses that ought to be detected. Thereby, AIS appear appropriate to automatically discover forgeries in signature verification systems. This work proposes a technique for offline signature verification that's supports the artificial Immune Recognition System (AIRS) and Artificial Neural Network (ANN) utilized in verification stage. For feature generation, two totally different descriptors are projected to get signature traits. the primary is that the Gaussian pyramid used for texture synthesis that is very redundant, coarse scales offer a lot of the data within the finer scales and Laplacian pyramid Seamlessly stitch along images into an image plaid (i.e., register the photographs and blurring the boundary), by smoothing the boundary in a very scale-dependent style to avoid boundary artefacts.

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Présentation de l'éditeur

Natural immune system offers several fascinating options that motivated the planning of Artificial Immune Systems (AIS) accustomed solve varied issues of engineering and Artificial Intelligence (AI). AIS are significantly thriving in fault detection and diagnosing applications where anomalies like errors and failures are assimilated to viruses that ought to be detected. Thereby, AIS appear appropriate to automatically discover forgeries in signature verification systems. This work proposes a technique for offline signature verification that's supports the artificial Immune Recognition System (AIRS) and Artificial Neural Network (ANN) utilized in verification stage. For feature generation, two totally different descriptors are projected to get signature traits. the primary is that the Gaussian pyramid used for texture synthesis that is very redundant, coarse scales offer a lot of the data within the finer scales and Laplacian pyramid Seamlessly stitch along images into an image plaid (i.e., register the photographs and blurring the boundary), by smoothing the boundary in a very scale-dependent style to avoid boundary artefacts.

Biographie de l'auteur

Dr Reecha Sharma is working as Assistant Professor in Deptt of ECE Punjabi University Patiala, India. She has eleven years of teaching experience. She has published more than 60 research papers in International/ National journals and conferences. She has guided 23 M.Tech students.She has published 7 ebooks. She is professional member of Institute

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2017
Langue
anglais
ISBN 10 
6202060417
ISBN 13 
9786202060417
Reliure
Broché
Nombre de pages
72
Coordonnées du fabricant
non disponible
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