Rejection strategies and confidence measures for a k-NN classifier in an OCR task

被引：0
|
作者：
Arlandis, J [1 ]
Perez-Cortes, JC [1 ]
Cano, J [1 ]
机构：
[1] Univ Politecn Valencia, E-46071 Valencia, Spain
来源：
16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL I, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In Handwritten Character Recognition, the rejection of extraneous patterns, like image noise, strokes or corrections, can improve significantly, the practical usefulness of a system. In this paper, a combination of two confidence measures defined for a k-nearest neighbors classifier is proposed. Experiments are presented comparing the performance of the same system with and without the new rejection rules.
引用
收藏
页码：576 / 579
页数：4
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