SVM Classifier for the Prediction of Era of an Epigraphical Script
Akash Arun Kumar Soumya, Hemantha Kumar G · International Journal of Peer to Peer Networks · 2011
Inscriptions are the main source for reconstructing the history and culture of ancient civilizations.The scripts of modern Indian languages have evolved over centuries and finally transformed to the present form.Modern readers find difficulty in interpreting a script of olden days.The characters have changed over time.Hence for reading ancient scripts the period has to be determined, so as to have knowledge of which character set of ancient days is to be employed for automatic reading.Prediction of the era of a given ancient script is a follow-on member of an ancient script recognition system and can be used as a component of the OCR system for ancient scripts.This knowledge can be used by archaeologists and historians for further explorations.In this paper we demonstrate period identification of various ancient Kannada scripts using SVM classifier.A system is proposed for prediction of the era and it is being done by examining a few characters in Kannada script of various periods referred to as test characters.These test characters are sampled from the script automatically and matched with the characters available for different periods using machine intelligence..This classifier is tested on quite number samples of Kannada epigraphical document images belonging to nine different periods.