Recognition and Extraction of Banking Data using OCR

The procedure of reserving data from bank records into the bank database is a long and an erroneous chore. In this module we suggest a structure that examines bank records and withdraws data from them in the form of text which can additionally be reserved in the bank dataset easily.In the system suggested, the attributes of every character written in the data inputted are drawn out and then transferred towards the neural network. Texts containing datasets that are put in writing by various persons are brought to use to teach the system. The identification system proposed provides great levels of accuracy in comparison to the already existing approaches in this field. This structure can efficiently identify texts and transform them into structural form which can be effortlessly stored and organized.