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A fast way to locate the item regions of gray level images of cheques


A fast way to locate the item regions of gray level images of cheques

Li, Zheng (2001) A fast way to locate the item regions of gray level images of cheques. Masters thesis, Concordia University.



In the business transactions of large corporations such as utility companies and banks, many cheques are being processed on a regular basis. Automatic reading of bank cheques is an active topic in Document Analysis. A machine capable of reading bank cheques will have wide applications in banks and those companies where huge quantities of cheques have to be processed. To realize such a system, many image processing, pattern recognition and OCR techniques must be involved. However, to develop an effective item extraction system is a difficult task, especially when the cheques contain complicated and colourful background pictures. In this thesis, a novel approach is proposed to locate the baselines of the cheque quickly and efficiently from a grey-scale cheque image. Based on that, we can extract the items such as the legal amount; courtesy amount and date respectively via a layout-driven extraction method. We have developed a system that can extract cheque items effectively and automatically combining all the current methods. The result is quite encouraging and a reliability of 98% has been achieved when tested on IRIS database which contains 600 gray-level cheque images. The performance analysis also indicates that our program is less time-consuming than the existing extraction system

Divisions:Concordia University > Faculty of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Li, Zheng
Pagination:x, 74 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:Theses (M.Comp.Sc.)
Program:Computer Science and Software Engineering
Thesis Supervisor(s):Suen, Ching Y
ID Code:1370
Deposited By: Concordia University Libraries
Deposited On:27 Aug 2009 17:18
Last Modified:08 Dec 2010 15:20
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