A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text line segmentation of historical documents: a survey
International Journal on Document Analysis and Recognition
An old greek handwritten OCR system based on an efficient segmentation-free approach
International Journal on Document Analysis and Recognition
A Study of Different Kinds of Degradation in Printed Gurmukhi Script
ICCTA '07 Proceedings of the International Conference on Computing: Theory and Applications
Handwriting Segmentation Contest
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02
Text line and word segmentation of handwritten documents
Pattern Recognition
Hi-index | 0.00 |
The development of an OCR system for recognition of old Gurmukhi handwritten manuscripts is a complex task involving many difficulties. Historical documents are affected by problems of ageing and repeated use and many other uncontrollable factors. Segmentation is one of the important phase of an OCR, as accuracy of an OCR depends upon the accuracy of segmentation. The writing styles of historical documents make the activity of segmentation extremely difficult. Segmentation includes line, word and character segmentation. In this paper, we have discussed a method for segmenting lines for Gurmukhi handwritten manuscripts.