Abstract

AbstractSegmentation of a word into basic characters or strokes is an essential and necessary preprocessing step for character recognition in many handwritten word recognition systems, especially in case of handwritten bangla words. The major difficulty in character segmentation is the cursive script. This is because different person have different styles for their handwriting. Here, in this article a novel approach for skew detection followed by skew correction has been presented for online handwritten Bangla words. Here, we have used a slight variation of the projection profile method to calculate the amount of skew in an online Bangla handwritten word. The algorithm has been verified on a database of words collected from different people.KeywordsImage processingsegmentationrecognitiondatabase

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.