ISSN: 0973-7510

E-ISSN: 2581-690X

K. Bramara Neelima1 and T. Saravanan2
1Research scholar,Bharath University,2Professor, Department of Electronics, India.
J Pure Appl Microbiol. 2015;9(Spl. Edn. Aug.):155-159
© The Author(s). 2015
Received: 13/02/2015 | Accepted: 01/05/2015 | Published: 31/08/2015

Bank cheque process in banking industry requires lot of human time and delay in the process. An automated bank cheque processing using machine vision approach and image processing algorithms will overcome the above drawbacks. So in this work automating the bank cheque process system is proposed.This automation system involvesegmentation,feature extraction and object recognition. Among them the segmentation is the fist process that segments require parts from the cheque image in order to extract the require features for the further process. There are many segmentation algorithms are presented in the literatethat has good quality of segmentation with the high computation cost. In this work a heuristic based geometric based segmentation technique that will segment the required parts of the check for the feature extraction is presented. This methods offer very good accuracy with less computational complexity comparing other methods.


Automation, Image segmentation, Machine vision

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© The Author(s) 2015. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.