Use of colour for hand-filled form analysis and recognition

Authors:
Nasser Sherkat;Tony Allen;Seong Wong
Affiliations:
The Nottingham Trent University, Intelligent Systems, School of Computing and Informatics, Burton Street, NG1 4BU, Nottingham, UK;The Nottingham Trent University, Intelligent Systems, School of Computing and Informatics, Burton Street, NG1 4BU, Nottingham, UK;The Nottingham Trent University, Intelligent Systems, School of Computing and Informatics, Burton Street, NG1 4BU, Nottingham, UK
Venue:
Pattern Analysis & Applications
Year:
2005

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Abstract

Colour information in form analysis is currently under utilized. As technology has advanced and computing costs have reduced, the processing of forms in colour has now become practicable. This paper describes a novel colour-based approach to the extraction of filled data from colour form images. Images are first quantized to reduce the colour complexity and data is extracted by examining the colour characteristics of the images. The improved performance of the proposed method has been verified by comparing the processing time, recognition rate, extraction precision and recall rate to that of an equivalent black and white system.