Automatic Extraction of Attributes from Printed Indian Cheque Images by Template Matching Technique

Abstract

Reserve Bank of India (RBI) has introduced Cheque Truncation System (CTS) for Indian banks in order to reduce the time required for physical movement of cheques between the clearance departments. However, other processes including database entry and verification are carried out manually. The proposal here is to eliminate the manual intervention by extracting the attributes from the input cheque image and updating the database automatically which significantly would reduce the time lapse on filling up the data into the database. Automatic database updating also contributes to provide secure data retrieval through querying system for verification of attributes by concerned banks. In this paper, a novel approach to extract printed attributes from Indian Bank cheque images based on their template structures is proposed. Template structures are determined by extracting the MICR code from the input cheque image. Important attributes region is segmented, and the printed data is recognized. Extensive experiments demonstrate the efficacy of the proposed method.