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ICPR
2002
IEEE
15 years 11 months ago
Rejection Strategies and Confidence Measures for a k- NN Classifier in an OCR Task
In Handwritten Character Recognition, the rejection of extraneous patterns, like image noise, strokes or corrections, can improve significantly the practical usefulness of a syste...
Javier Cano, Joaquim Arlandis, Juan Carlos P&eacut...
ICPR
2002
IEEE
15 years 11 months ago
Chinese Character Recognition via Gegenbauer Moments
Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed ...
Simon X. Liao, Amy Chiang, Qin Lu, Miroslaw Pawlak
ICPR
2006
IEEE
15 years 11 months ago
Type-2 Fuzzy Markov Random Fields to Handwritten Character Recognition
This paper integrates Markov random fields (MRFs) with type-2 fuzzy sets (T2 FSs) referred to as T2 FMRFs, which can handle the fuzziness of the labeling space as well as the rand...
Jia Zeng, Zhi-Qiang Liu
GBRPR
2005
Springer
15 years 3 months ago
Collaboration Between Statistical and Structural Approaches for Old Handwritten Characters Recognition
Abstract. In this article we try to make different kinds of information cooperate in a characters recognition system addressing old Greek and Egyptians documents. We first use a ...
Denis Arrivault, Noël Richard, Christine Fern...
ICMI
2000
Springer
217views Biometrics» more  ICMI 2000»
15 years 1 months ago
Offline Handwritten Chinese Character Recognition Using Optimal Sampling Features
For offline handwritten Chinese character recognition, stroke variation is the most difficult problem to be solved. A new method of optimal sampling features is proposed to compens...
Rui Zhang, Xiaoqing Ding