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Intelligent Character Recognition (ICR): A Case Study in Ballot Digit Recognition

Condell, Joan, Yogarajah, Pratheepan and Donaghy, Siobhan (2010) Intelligent Character Recognition (ICR): A Case Study in Ballot Digit Recognition. International Journal of Image Processing and Communications, 15 (2). pp. 27-34. [Journal article]

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ICR is an emerging technology for the recognition of hand writing (i.e. turning images of handwritten characters into machine readable characters). The reliability of ICR is continuously improving.There are many commercial ICR engines available currently and most of them are capable ofrecognizing free hand writing, hand printed digits (or alphanumerics) and check boxes.This paper reports on a feasibility study to determine the accuracy of widely available commercialICR engines for hand printed digits and check box recognition in ballot papers. The studyconcludes that current ICR engines are sufficiently robust and achieve very high levels of accuracy(i.e. 95-99%). However none of the current ICR engines achieved 100% accuracy level. Our researchsuggests that a combination of ICR engines and improved “voting” strategies could increasethe accuracy rate close to 100%.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:17389
Deposited By: Dr Joan Condell
Deposited On:26 May 2011 14:56
Last Modified:26 May 2011 14:56

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