Characterizing Hand Written Devanagari Characters using Evolved Regular Expressions

摘要

Devanagari script is used in the Indian subcontinent for several major languages such as Hindi, Sanskrit, Marathi Nepali languages. More than 500 million people use the script. Recognition of unconstrained (Handwritten) Devanagari writing is more complex than English cursive due to shape of constituent strokes. The method that has been proposed is using segmentation evolved regular expressions. It has been taken care into account that there is vast variation in writing styles size and thickness characters and any distortion during scanning. There is no need preprocessing as well as training. The notation of regular expression is short and precise and can be easily transformed directed graphs or finite-state automata accepting all the symbol strings generated by the corresponding expressions. The method efficient enough because of power of regular expressions