Work place: Faculty of Engineering, Kharazmi University, Tehran, IRAN
E-mail: hajihashemi.vahid@yahoo.com
Website:
Research Interests: Evolutionary Computation, Artificial Intelligence, Computer systems and computational processes
Biography
Vahid Hajihashemi is currently a master student of Computer Engineering at Faculty of Engineering at Kharazmi University of Tehran. His research interests include artificial intelligence and evolutionary computations.
By Keivan Borna Vahid Hajihashemi
DOI: https://doi.org/10.5815/ijigsp.2015.09.03, Pub. Date: 8 Aug. 2015
All the works on writer's handwritten letters detection was based on the western languages and partly Chinese and Hindi, and there is a little study on Persian handwritten letters detection. Accordingly, in this paper a method is proposed to distinguish scanned Persian handwritten texts with image processing techniques. The proposed method assumes that the writer's handwritten are available in separate letters. The system trains with features extraction of these separate letters and then the trained system is used to detect individual handwritten among some indistinctive handwritten texts. The characteristics of our proposed method including high-speed of training in too much number of handwritten, is the content inattention and visual features considering. The results of procedures on 100 persons also admitted that the proposed method has a very good performance on Persian handwritten texts detection.
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