A model-based approach to offline text-independent Arabic writer identification and verification

This paper proposes a grapheme-based approach to offline Arabic writer identification and verification that showed better properties than most of the surveyed techniques in terms of supported corpus size and identification rates, and demonstrated the wide representativity and the good generalization capability of synthetic codebooks.