Open AccessAutomating Data Entry Forms for Banks Using OCR and CNN
Author(s) -
Maithilee Vaidya,
Praveen Kumar Rule,
Hemant Kumar,
Akansha Jain,
Asmita R. Kamble
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195387
Subject(s) - database transaction , cash , computer science , variety (cybernetics) , scanner , construct (python library) , atm card , credit card , business , database , finance , world wide web , computer network , artificial intelligence , payment
Digitalization of money transfer is a must in the present situation of banking operations. Clients have a variety of ways to carry out transactions, such as credit, wiring money, and so forth. However, depositing cash requires the physical presence of the depositor at the bank, and cashier needs to enroll the transaction into the system, which slows down the rate of money deposit and teller's activity. To accelerate the process, banks around the world have to adapt and construct guidelines for a digital deposit. To accurately digitize and transmit deposit slip information from smartphones to the bank, a scheme called 'Automating Data Entry Forms for Banks Using OCR and CNN'. The deposit slip scanner algorithm is based on input from the Smartphone camera.