Character Recognition on Palm-Leaf Manuscripts—A Survey

摘要

Handwritten recognition is an emerging field in the pattern recognition. Extraction of Sanskrit palm manuscript is challenging task and complicated in character recognition compared to other languages. In order to extract relevant information from the manuscript images efficiently, each step of the process requires reduction of irrelevant data such as noise on the images. This paper explains the importance of preprocessing step to determine the noise reduction, binarization, optimal binariza-tion text, and character segmentation technique for palm manuscript. The objective of this paper is to present a survey of the existing methods for character recognition on palm manuscript which have been developed recently, to handle the historical document images.