Intelligent Character Recognition (ICR): a case study in ballot digit recognition
2010; De Gruyter; Volume: 15; Issue: 2 Linguagem: Inglês
ISSN
2300-8709
AutoresJoan Condell, Pratheepan Yogarajah, Siobhan Donaghy,
Tópico(s)Hand Gesture Recognition Systems
ResumoICR 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%.
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