Automated Offline Arabic Signature Verification System using Multiple Features Fusion for Forensic Applications
Saad M. Darwish, Ashraf M. El-Nour, Departmnet of Forgery and Researches, Forensic Medicine, Ministry of Justice, Alexandria, Egypt. · Arab Journal of Forensic Sciences and Forensic Medicine · 2016
Open Accesswriting process, it will be more difficult to obtain higher verification accuracy.This paper addresses the above difficulty by introducing a novel offline Arabic signature verification algorithm.The key point is using multiple feature fusion with fuzzy modeling to capture different aspects of a signature individually in order to improve the verification accuracy.State-of-the-art techniques adopt the fuzzy set to describe the properties of the extracted features to handle a signature's uncertainty; this work also employs the fuzzy variables to describe the degree of similarity of the signature's features to deal with the ambiguity of questioned document examiner judgment of signature similarity.It is concluded from the experimental results that the verification system performs well and has the ability to reduce both False Acceptance Rate (FAR) and False Rejection Rate (FRR).با�ستخدام العربية التواقيع من آيل ا حتقق نظام املدجمة اخلطية واخل�سائ�ص املميزات من جمموعة اجلنائية للتطبيقات مل�ستخل�ص ا �شيوعا البيومرتية القيا�شات أكرث ا من االن�شان توقيع يعد