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ICDAR
2009
IEEE
13 years 11 months ago
Rejection Strategies with Multiple Classifiers for Handwritten Character Recognition
With rejection strategies in a handwriting recognition system, we are able to improve the reliability and accuracy of the recognized characters. In this paper, we propose several ...
Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun...
ICPR
2002
IEEE
14 years 5 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...
ICDAR
2009
IEEE
13 years 11 months ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
ICPR
2006
IEEE
14 years 5 months ago
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents
In this article, we propose a segmentation-driven recognition system which aims at extracting numerical fields from handwritten documents. We show that a crucial point of the syst...
Clément Chatelain, Laurent Heutte, Thierry ...
IJDAR
2002
116views more  IJDAR 2002»
13 years 4 months ago
Performance evaluation of pattern classifiers for handwritten character recognition
Abstract. This paper describes a performance evaluation study in which some efficient classifiers are tested in handwritten digit recognition. The evaluated classifiers include a s...
Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa