Digital Entry of Bank Related Slips Using Character Recognition

Harsh Ahuja; Aditya R.

Abstract

Standing in long queues in bank for small work like depositing the money is very frustrating and also wastes a lot of time. The bank employee handles all the work such as making the entry of money deposited or credit from the account manually by typing information such as account number, amount, etc. and due this creates long queues in banks for such small tasks. Thus, we have come up with a solution which saves time of both, the customer and the bank employees. In this paper we are going to present an idea, to use a camera, to read the entries in the deposit slips of bank, such as account no., amount, count of each denomination, etc. and enter it in the database. This concept is implemented using Handwritten text recognition (HCR) which is a basic machine learning technique using Convolutional Neural Network. Here, concepts of image processing are also used to enhance the quality of image captured to ensure that all the digits are recognised accurately.

Abstract

Keywords