Recognition Of Formatted Amharic Text Using Optical Character Recognition (ocr) Techniques

At this age of ours, information is the driving force behind every human endeavor.rnInformation in computer processable format is specially valuable since it can be stored,rnmanipulated, and transferred with a minimum of labor and financial cost. For this,rninformation in paper and other documents should be converted to computer processablernformat. Quite for some time now, it has been a practice to develop character recognition systems.rnScripts such as Latin, Arabic, Kanji, Cyrillic, etc. have enjoyed a significant amount ofrnresearch in the area, while other scripts like Amharic and Kannada have little work done. The testing of OCR techniques on the Amharic script is a recent phenomenon. WorkurnAlemu, a 1997 graduate of SISA, was able to adopt an OCR algorithm for the Amharicrnscript. Without applying pre- and post-processing techniques to detect and correct errors,rnthe combination of the segmentation and recognition algorithms he used yielded arnsignificant accuracy level for laser printouts of text with 12 point size and normal type stylernof Washrag font (the main test case). However, his algorithm was not capable of recognizing texts written in different font sizesrnand styles (such as italics and outline). In the current work, it is tried to further his work byrnintroducing some per-processing techniques so that his algorithm recognizes texts writtenrnin different sizes and styles

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