A Review on Different Techniques for Character Segmentation for HINDI Handwritten Words
- Author Manpreet Kaur
- Co-Author Ashok Bathla
- DOI
- Country : India
- Subject : Engineering
Keywords : Header Line detection, Character segmentation, Structural approach
Abstract
The character level segmentation of printed or hand written text is a important step for OCR. It will be very difficult to segment the word to extract the characters when writing is cursive. There are various number of other problems that lies in the HINDI words. For example there is a problem of overlapping and cutting and upper line, lower line problems. The most emphasis point here is the segmentation of characters with different types of writing style of different persons under different moods. There are various methods and techniques are being followed to extract the text after the segmentation. No technique remains complete as far as exact result extraction is concerned. Upper line segmentation based technique is the better technique to extract the text while considering the overlapping and cutting of the text.
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