Title :
Bimodal system for recognition of authors of handwritten documents
Author :
Gotovac, Sven ; Marusic, Zeljko ; Zelenika, Danijel ; Seremet, Zeljko
Author_Institution :
Univ. of Split, Split, Croatia
Abstract :
Handwritten digit strings and handwritten signature are used in various applications on a daily basis. Whether one signs a contract, work documents, petition, or wants to approve a cheque payment, one will use personal signature to do all those things. Similar is true for digits strings, where digit recognition is used in postal mail sorting, bank cheque processing, etc. In this paper we use this daily based biometric characteristic for identification and classification of students´ papers and various exam documents used at University of Mostar.
Keywords :
document image processing; handwriting recognition; image classification; author recognition; bimodal system; biometric characteristic; digit recognition; handwritten digit string; handwritten document; handwritten signature; student paper classification; Character recognition; Databases; Feature extraction; Handwriting recognition; Training; Vegetation; Handwritten signature; biometrics; computer vision; digit strings; pattern recognition; random forest;
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
DOI :
10.1109/MECO.2015.7181903
