Insight on character recognition for calligraphy digitization

Character recognition plays a major role in electronic conversion of handwritten script and inscription images into a digital form for the preserving the precious content of prehistoric documents. The script in materialistic form may be deteriorated over time and lost as time passes by. Hence, it is really imperative to take necessary measures to digitally archive the scripts. Character recognition is the predominant technique that includes stages of preprocessing the script images and undergo machine learning to recognize individual character from them. A comprehensive study on such character recognition efforts done for various languages both National and International level like Arabic, Thai, Chinese, English, Kannada, Devanagari, Marathi and Tamil was done and the essence of materials, methods and techniques used have been presented in this paper. This work envisioned to analyze the potentials for developing a sys-tem for developing a system Tamil character recognition system.