Identification of authors of documents based on offline signature recognition

Handwritten signature is used in various applications on daily basis. Whether one signs a contract, work documents, petition, or wants to approve a check payment, one will use personal signature to do all those things. 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. In this paper we used OpenCV library as an image processing tool for feature extraction. As regards to classification method, we used Support Vector Machine.