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Offline Handwritten Signature Recognition System

Offline Handwritten Signature Recognition System

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
Delivery in :  10-12 Business Days

 
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  • Product Description
 

In this book, author proposed new offline handwritten signature Identification and Verification based on the contourlet coefficient as the feature extractor and Support Vector Machine (SVM) as the classifier. In projected method, first signature image is normalized based on size. After preprocessing, contourlet coefficients are computed on particular scale and direction using contourlet transform in feature extraction. After feature extraction, all extracted coefficients are feed to a layer of SVM classifiers as feature vector. The number of SVM classifiers is equal to the number of classes. Each SVM classifier determines if the input image belongs to the resultant class or not. The main feature of proposed method is independency to nation of signers. The proposed methodology implemented using MATLAB R2009a software tool with image processing toolbox. The research is on English signature database, based on this experiment, we achieve a 94% identification rate.

Product Specifications
SKU :COC75328
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08
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