Title of article :
Innovative Technique for Character Recognition
Author/Authors :
Sumant Raj Chauhan، نويسنده , , Punit Soni، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
4
From page :
266
To page :
269
Abstract :
Development of OCRs for Indian script is an active area of activity today. Optical character recognition (OCR) is the mechanical orelectronic translation of images of handwritten, typewritten or printed text (usually captured by a scanner) into machine-editable text. In simplewords OCR is a visual recognition process that turns printed or written text into an electronic character based file. OCR is a field of research inpattern recognition, artificial intelligence and machine vision. Indian scripts present great challenges to an OCR designer due to the large numberof letters in the alphabet, the sophisticated ways in which they combine, and the complicated graphemes they result in. The problem iscompounded by the unstructured manner in which popular fonts are designed. There is a lot of common structure in the different Indian scripts. All existing OCR systems developed for various Indian scripts do not provide sufficient efficiency due to various factors. The objective of thispaper is to discuss a more efficient character recognition technique. This paper introduces a new technical approach to recognize Indian scriptcharacters which are unpredictable due to different problems in other OCR’s
Keywords :
OCR , Segmented Character , Broken Character , Skew , Skewed Character , Artificial Neural Network. , Character recognition
Journal title :
International Journal of Advanced Research in Computer Science
Serial Year :
2010
Journal title :
International Journal of Advanced Research in Computer Science
Record number :
668405
Link To Document :
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