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Script identification and text recognition are some of the major domains inthe application of Artificial Intelligence. In this era of digitalization, theuse of digital note-taking has become a common practice. Still, conventionalmethods of using pen and paper is a prominent way of writing. This leads to theclassification of scripts based on the method they are obtained. A survey onthe current methodologies and state-of-art methods used for processing andidentification would prove beneficial for researchers. The aim of this articleis to discuss the advancement in the techniques for script pre-processing andtext recognition. In India there are twelve prominent Indic scripts, unlike theEnglish language, these scripts have layers of characteristics. Complexcharacteristics such as similarity in text shape make them difficult torecognize and analyze, thus this requires advance preprocessing methods fortheir accurate recognition. A sincere attempt is made in this survey to providea comparison between all algorithms. We hope that this survey would provideinsight to a researcher working not only on Indic scripts but also otherlanguages.

Optical Script Identification for multi-lingual Indic-script