Kannada Handwritten Word Recognition Using Esld Method

Abstract

The HCR method normally identifies writers' identities. It includes the crucial phase of segmentation, in which the handwriting text is converted into lines. SLD and the R Clustering technique for line and character segmentation in the framework of a handwritten documents Kannada literature. The words from the text lines are arranged here using an intelligent technique. The words that have been detected are then retrieved and saved in a new picture. During extraction, it is assured that no words intersect and that unnecessary information is effectively removed. Other proposed and well tested approaches to speed up the process of text region segmentation and skew repair of Kannada handwritten manuscripts are given in the investigation. The claimed average segmentation accuracy is 97.13 percent