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ICDAR
2011
IEEE

Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane

10 years 11 months ago
Objective Function Design for MCE-Based Combination of On-line and Off-line Character Recognizers for On-line Handwritten Japane
—This paper describes effective object function design for combining on-line and off-line character recognizers for on-line handwritten Japanese text recognition. We combine on-line and off-line recognizers using a linear or nonlinear function with weighting parameters optimized by the MCE criterion. We apply a k-means method to cluster the parameters of all character categories into groups so that the categories belonging to the same group have the same weight parameters. Moreover, we apply a genetic algorithm to estimate super parameters such as the number of clusters, initial learning rate and maximum learning times as well as the sigmoid function parameter for MCE optimization. Experimental results on horizontal text lines extracted from the TUAT Kondate database demonstrate the superiority of our method. Keywords-Classifier combination; On-line recognition; string recognition; Character rcognition
Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
Added 24 Dec 2011
Updated 24 Dec 2011
Type Journal
Year 2011
Where ICDAR
Authors Bilan Zhu, Jinfeng Gao, Masaki Nakagawa
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