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The study in the field of optical character recognition can be traced back to mid-1940s and has ever since gaining the attention of various industries and sectors. Optical character recognition has been highly used in banks, post offices, libraries, and publishing houses. The main challenge in OCR is handwritten character recognition. The research on handwritten character recognition began in the late 1960s, and at that time, only the handwritten numeric characters were addressed by the system [1]. Over the years, the technological approach for solving this problem has developed, thus improving the accuracy of the system [2]. Handwritten OCR for the English language which comes under the Latin script has almost developed into a full-fledged system. The research on handwritten OCR for Devanagari script is very limited compared to Latin script. Devanagari script includes languages like Hindi, Marathi, and Nepali. The most widely used Devanagari script language is Hindi with over 500 million people using this language [3].In Devanagari script, there are 13 vowels and 36 consonants as shown in Fig. 1. There are 14 modifiers in Devanagari, out of which 11 are of vowels and 3 are of

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