Persian Handwritten Words Detection Based On Features Extraction And Fuzzy Algorithm
نویسندگان
چکیده
منابع مشابه
Persian Handwritten Words Detection Based on Features Extraction and Fuzzy Algorithm
In this paper, extracted word features have been used toward offline detection of Persian handwritten words. This has been done using fourteen features in Persian word structure. In this method after required pre-processing, numbers and location of dots versus base line are extracted then the word becomes thin and the feature extraction stage starts. In this stage the words are detected by usin...
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Persian (Farsi) handwriting is inherently cursive and variable in style. Moreover, many Persian characters have similar body but different secondary strokes e.g. dots. As a result, Persian handwriting recognition is an extremely complex task. Many researchers have tackled the problem by different approaches; however, the research in this field is still in its infancy. In this paper, we propose ...
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ژورنال
عنوان ژورنال: Electrical and Electronics Engineering: An International Journal
سال: 2015
ISSN: 2200-5846
DOI: 10.14810/elelij.2015.4208