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New algorithm for skewing detection of handwritten Bangla words
conference contribution
posted on 2023-05-23, 12:38 authored by Ghosh, R, Bhattacharyya, D, Kim, TH, Lee, G-SSegmentation 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.
History
Publication title
Communications in Computer and Information Science 260: Proceedings of the 2011 International Conference on Signal Processing, Image Processing and Pattern RecognitionVolume
260Editors
T-H Kim, H Adeli, C Ramos, B-H KanPagination
153-159ISBN
978-3-642-27182-3Department/School
School of Information and Communication TechnologyPublisher
Springer, Berlin, HeidelbergPlace of publication
GermanyEvent title
2011 International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011Event Venue
Jeju Island, South KoreaDate of Event (Start Date)
2011-12-08Date of Event (End Date)
2011-12-10Rights statement
Copyright 2011 Springer-Verlag Berlin HeidelbergRepository Status
- Restricted