• SANJAY CHAUDHARY

This paper represents the research made for the recognition of the alphabets of the English Language. This section of the research has been the most interesting and challenging areas in today’s world. This has also been the point of focus from a very long time. This is due to the fact that the computer device or the mobile device has to learn from a number of training iterations done for a particular character. The challenging part in this is to reduce the number of iterations and reach the most correct recognised character. Different researches have been done previously to recognise the characters in the country’s native language but improving the research work in English language only will help more as it is the most widely used language in the world. Document verification, digital library, reading bank deposit slips, reading postal addresses, extracting information from cheques, data entry, applications for credit cards, health insurance, loans, tax forms etc. are application areas of digital document processing. Different technologies that are used in this research work are: Machine Learning and Neural Networks.

Learning, Neural networks, Character Recognition

"DECODING HANDWRITTEN ENGLISH CHARACTERS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.698-702, June-2019, Available :http://www.jetir.org/papers/JETIR1906G08.pdf

"DECODING HANDWRITTEN ENGLISH CHARACTERS: A REVIEW", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp698-702, June-2019, Available at : http://www.jetir.org/papers/JETIR1906G08.pdf