A Writer Identification System of Greek Historical Documents using MATLAB
نویسندگان
چکیده
-In this paper we present a system for writer identification from historical lines of text, where features are extracted and used to recognize individuals. The main goal is to analyze documents of different writing styles in order to identify the writers. We consider a complete 2D probability distribution that takes into account all possible combinations of angle pairs, outperforming original code. The images included are taken from the Greek digital library Hellinomnimon available at http://www.lib.uoa.gr/hellinomnimon/. The experiments are based on 7 pages of text written by 43 different writers. Keywords-Writer identification, Handwriting analysis, Feature extraction, Edge-hinge distribution, Historical documents.
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