DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-7,Issue-1 ( Jan, 2020 ) | |||||||||
Paper Title |
Identification and Recognition of Printed Distorted Characters using DCR Method | |||||||||
Author Name |
Md. Shahiduz Zaman, Faisal Imran | |||||||||
Affilition |
Department of Computer Science & Engineering, RUET, Bangladesh Department of Computer Science & Engineering, Varendra University, Bangladesh | |||||||||
Pages |
12-18 | |||||||||
Abstract |
In the past few years Technology advances in two areas and these are computers and communication networks. This advancement has provided the opportunity to make literature and important information available to the people from all around of the world. By developing image databases of these manuscripts and different documents and making them available on the Internet, it will be easier for the people to access them. We can save the documents from further degradation by preserving them and at the same time make them accessible in perpetuity in the digital library and it is another significant advantage. For these reasons character recognition is an ever-ending research application in the real world and each character recognisation should be accurate. So that it leads to understand the exact meaning and concept. Analyzing the distorted character is quite complicated task. In some languages like Bengali, Hindi even English the distorted character may appear like some other character so that important data may be missed. In this paper, we present an algorithm to improve the quality of the distorted document images well as the recognition of the distorted texts. Experimental result shows that the accuracy of our proposed technique is 97%. Keywords - Distorted Document, Image Enhancement, Ocr, Dcr, Character Segmentation, Text Extraction. | |||||||||
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