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Binary Image Enhancement by Segmentation Analysis

Howells, Gareth and Allgrove, C.C. and Fairhurst, Michael (1997) Binary Image Enhancement by Segmentation Analysis. In: 1997 Sixth International Conference on Image Processing and Its Applications. IEEE. ISBN 0-85296-692-X. (doi:10.1049/cp:19970995) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://www.dx.doi.org/10.1049/cp:19970995

Abstract

This paper addresses the problem of the enhancement of images of handwritten bank cheques in order to facilitate their automatic processing by machine. The paper focuses on the detection and removal of additional image noise introduced to the original image through overprinting of paying-in confirmation stamps commonly placed on the cheque by banks within the United Kingdom. The removal of such stamp imprints is essential if satisfactory performance in legal and courtesy amount recognition is to be achieved by the subsequent handwritten character recognition software.

Item Type: Book section
DOI/Identification number: 10.1049/cp:19970995
Uncontrolled keywords: Financial data processing, bank data processing
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Gareth Howells
Date Deposited: 30 Nov 2016 18:57 UTC
Last Modified: 18 Sep 2019 12:24 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/59316 (The current URI for this page, for reference purposes)
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