Line and Word Segmentation of handwritten text documents written in Gurmukhi Script using mid point detection technique
In this paper, a new method is proposed for line and word segmentation analysis of handwritten script. The main aim of this paper is Line and Word Segmentation of text document written in script using mid point detection technique. Accuracy of line Segmentation plays very important role in Optical Character Recognition (OCR) because in OCR system there are many other phases which highly depend on the accuracy of the segmented line. The proposed method is evaluated in terms of accuracy and compared with the existing methods. Two different handwritten scanned images have been taken as input images for line and word segmentation. The results of the proposed method are quite promised.
2015 2nd International Conference on Recent Advances in Engineering Computational Sciences (RAECS)