C
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.
Papers
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Book ChapterDOI
Gray-Scale thinning algorithm using local min/max operations
TL;DR: A gray-scale thinning algorithm based on local min/max operations that can be also applied to an unsegmented image in which objects are not specified is newly proposed.
Patent
Generator for spelled speech and for speech
Michael P. Beddoes,Ching Y. Suen +1 more
TL;DR: In this paper, a spelled speech or speech generator consists of a central processing unit (CPU), a first memory storing operating program signals for the CPU, and a second memory storing signals representative of predetermined portions of phonemes and repetition counts therefor.
Book ChapterDOI
Difficult Cases in Handwritten Numeral Recognition
TL;DR: Through an experiment, the clues and cues used by humans to recognize the most confusing samples of the authors' database are investigated and four algorithms are applied to the same difficult data set.
Automated entry system for handwritten documents.
Mohamed Cheriet,Ching Y. Suen +1 more
TL;DR: The invention relates to an operational amplifier (OA) or comparator circuit with minimized offset voltage and drift, particularly for analog and/or digital systems requiring high speed and high accuracy signal processing, such as integrators, analog-to-digital converters, etc.
Proceedings ArticleDOI
Automatic evaluation of skeleton shapes
Louisa Lam,Ching Y. Suen +1 more
TL;DR: The attempt here is to develop distance measures based on shape matching methods, and to compare skeletons references in terms of these distances, and three such methods have been adapted for this purposes.