A SURVEY ON HANDWRITTEN CHARACTER RECOGNITION (HCR) TECHNIQUES FOR ENGLISH ALPHABETS

ABSTRACTNowadays Hand written Character Recognition (HCR) is major remarkable and difficult research domainin the area of Image processing. Recognition of Handwritten English alphabets have been broadly studiedin the previous years. Presently various recognition methodologies are in well-known utilized forrecognition of handwritten English alphabets (character). Application domain of HCR is digital documentprocessing such as mining information from data entry, cheque, applications for loans, credit cards, tax,health insurance forms etc. During this survey we present an outline of current research work conductedfor recognition of handwritten English alphabets. In Handwritten manuscript there is no restriction on thewriting technique. Handwritten alphabets are complicated to recognize because of miscellaneous humanhandwriting technique, difference in size and shape of letters, angle. A variety of recognition methodologiesfor handwritten English alphabets are conferred here alongside with their performance.KEYWORDSHandwritten Character Recognition (HCR), features extraction, Optical Character Recognition (OCR),classifiers, Pre-Processing