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Ching Y. Suen
Researcher at Concordia University
Publications - 532
Citations - 25017
Ching Y. Suen is an academic researcher from Concordia University. The author has contributed to research in topics: Handwriting recognition & Feature extraction. The author has an hindex of 65, co-authored 511 publications receiving 23594 citations. Previous affiliations of Ching Y. Suen include École de technologie supérieure & Concordia University Wisconsin.
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Book ChapterDOI
Sorting and Recognizing Cheques and Financial Documents
TL;DR: A prototype which can differentiate between cheques and remittance slips, between English and French cheques, and recognize their contents is described, which is based on the detection of the structural properties printed on such documents.
Journal ArticleDOI
Bank check processing system
Ching Y. Suen,Louisa Lam,Didier Guillevic,Nick W. Strathy,Mohamed Cheriet,J.N. Said,Rong Fan +6 more
TL;DR: This article describes a system being developed to process bank checks that begins with the implementation of image‐processing techniques to isolate and identify each category of handwritten information, then uses the relevant recognizers to read the numeric and legal amounts, as well as the date on the check.
Journal ArticleDOI
Analysis of errors of handwritten digits made by a multitude of classifiers
Ching Y. Suen,Jinna Tan +1 more
TL;DR: Two possible solutions to reduce errors and improve system reliability are proposed: (a) a verification module, and (b) combination of complementary multiple classifiers.
Journal ArticleDOI
Expert system evaluation techniques: a selected bibliography
TL;DR: This paper outlines some of the issues involved in evaluating expert systems and cites almost 200 significant papers on the topic and aims to help both new and established researchers become acquainted with the literature of an important and growing field.
Journal ArticleDOI
Learning-based word spotting system for Arabic handwritten documents
TL;DR: A coherent learning based Arabic handwritten word spotting system which can adapt to the nature of Arabic handwriting, which can have no clear boundaries between words.