Segmentation of Bangla handwritten text into characters by recursive contour following
- 1 January 1999
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Segmentation of handwritten words into characters is one of the important components in handwritten text OCR. In this paper we put forward a method for the segmentation of handwritten Bangla (an Indo-Bangladeshi language) text into characters. Based on certain characteristics of Bangla writing methods, different zones across the height of the word are detected. These zones provide certain structural information about the constituent characters of the respective word. In Bangla handwritten texts often there is overlap between rectangular hulls of successive characters. As such the characters are seldom vertically separable. So, we propose a method of recursive contour following in one of the zones across the height of the word to find out the extents within which the main portion of the character lies. If the successive characters are not touching in the zone of contour following, the algorithm gives fairly good results.Keywords
This publication has 6 references indexed in Scilit:
- Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten wordsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- SEGMENTATION OF OFF-LINE CURSIVE HANDWRITING USING LINEAR PROGRAMMINGPattern Recognition, 1998
- Skew angle detection of digitized Indian script documentsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1997
- A survey of methods and strategies in character segmentationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Recognition of handwritten word: First and second order hidden Markov model based approachPattern Recognition, 1989
- Off-line cursive script word recognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 1989