Handwritten Character Recognition for major Indian Scripts:A Survey
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 4
Abstract
Character Recognition is an active field of research today. It comprises of Pattern Recognition and Image Processing. Character Recognition has gained enormous attention due to its application in various fields. Character Recognition is broadly categorized into Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR). OCR system is most suitable for the applications like multi choice examinations, printed postal address resolution etc, while application of HCR is wider as compared to OCR. HCR is useful in cheque processing in banks; almost all kind of form processing systems, handwritten postal address resolution and many more. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters as well as Indian Scripts like Devnagri, still some scripts remain less contributed. In this survey, we provide a detail study of classifiers as well as various techniques proposed by different researchers for handwritten character recognition for Indian Scripts specially Devnagri, Urdu and Malayalam. This survey will serve as the first and basic step for the researchers for recognizing the characters from various regional scripts in India. It will surely provide a way for the development of recognition tools for Indian scripts. In coming days, character recognition system might serve as a key factor to create paperless environment by digitizing and processing existing paper documents.
Authors and Affiliations
Sneha U. Bohra , Satish J. Alaspurkar
Keywords
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