Bimodal system for recognition of authors of handwritten documents

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.