Offline Text-Independent Chinese Writer Identification Using GLDM Features
Gloria Jennis Tan, Ghazali Sulong, Mohd Shafry Mohd Rahim · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · 2017
This paper presents a method using retrieval mechanism along with Gray-Level Difference Method (GLDM) feature extraction, an approach based on the textural features which is firstly introduced for off-line, text-independent Chinese writer identification. A widely used performance evaluation database HIT-MW has been used for conducting the experiment. An improvement in the identification rates has been revealed in the experimental evaluations by decreasing the search space using a writer retrieval mechanism prior to identification.