DocumentCode :
3777643
Title :
A novel recognition of Indian bank cheques based on invariant geometrical features
Author :
Raghavendra S.P;Ajit Danti
Author_Institution :
Department of Computer Applications, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India
Volume :
1
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
Automated bank cheque processing is becoming an important technology due to the massive amount of cheques to be processed daily by banks. Across the world still today many financial transactions are carried out using bank cheques. Everyday a large set of handwritten bank cheques are processed manually by the banking authorities. While performing a manual verification, handwritten textual information and machine printed shapes including Bank logo, date, signature, legal and courtesy amounts present on each cheque has to be visually verified. As many countries use cheque truncation systems (CTS) nowadays, much time, effort and money can be saved if this entire process of recognition, verification and data entry is done automatically using images of cheques. In this paper an attempt is made in this paper to present a systematic technique for automatic processing of Indian bank cheque images for identification and recognition of a specific types of bank cheques based on geometrical shapes of bank logo.
Keywords :
"Feature extraction","Image recognition","Shape","Image segmentation","Face recognition","Databases","Algorithm design and analysis"
Publisher :
ieee
Conference_Titel :
Trends in Automation, Communications and Computing Technology (I-TACT-15), 2015 International Conference on
Type :
conf
DOI :
10.1109/ITACT.2015.7492682
Filename :
7492682
Link To Document :
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