Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory - Computer Science > Computer Vision and Pattern RecognitionReport as inadecuate




Offline Signature Identification by Fusion of Multiple Classifiers using Statistical Learning Theory - Computer Science > Computer Vision and Pattern Recognition - Download this document for free, or read online. Document in PDF available to download.

Abstract: This paper uses Support Vector Machines SVM to fuse multiple classifiersfor an offline signature system. From the signature images, global and localfeatures are extracted and the signatures are verified with the help ofGaussian empirical rule, Euclidean and Mahalanobis distance based classifiers.SVM is used to fuse matching scores of these matchers. Finally, recognition ofquery signatures is done by comparing it with all signatures of the database.The proposed system is tested on a signature database contains 5400 offlinesignatures of 600 individuals and the results are found to be promising.



Author: Dakshina Ranjan Kisku, Phalguni Gupta, Jamuna Kanta Sing

Source: https://arxiv.org/



DOWNLOAD PDF




Related documents