A general framework for the evaluation of symbol recognition methods

被引：15
|
作者：
Valveny, E.
Dosch, P.
Winstanley, Adam
Zhou, Yu
Yang, Su
Yan, Luo
Wenyin, Liu
Elliman, Dave
Delalandre, Mathieu
Trupin, Eric
Adam, Sebastien
Ogier, Jean-Marc
机构：
[1] Ctr Vis Comp, Barcelona 08193, Spain
[2] LORIA, F-54602 Villers Les Nancy, France
[3] Natl Univ Ireland, Maynooth, Kildare, Ireland
[4] Fudan Univ, Dept Comp Sci & Engn, Shanghai 200433, Peoples R China
[5] City Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
[6] Univ Nottingham, Nottingham NG7 2RD, England
[7] Univ Rouen, LITIS Lab, Rouen, France
[8] La Rochelle Univ, L3i Lab, Rochelle, France
来源：
INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION | 2007年 / 9卷 / 01期
关键词：
performance evaluation; symbol recognition;
D O I：
10.1007/s10032-006-0033-x
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Performance evaluation is receiving increasing interest in graphics recognition. In this paper, we discuss some questions regarding the definition of a general framework for evaluation of symbol recognition methods. The discussion is centered on three key elements in performance evaluation: test data, evaluation metrics and protocols of evaluation. As a result of this discussion we state some general principles to be taken into account for the definition of such a framework. Finally, we describe the application of this framework to the organization of the first contest on symbol recognition in GREC'03, along with the results obtained by the participants.
引用
收藏
页码：59 / 74
页数：16
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