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Title: Recognition of similar characters using gradient features of discriminative regions
Authors: Inkeaw, Papangkorn
Bootkrajang, Jakramate
Marukatat, Sanparith
Gonçalves, Teresa
Chaijaruwanich, Jeerayut
Keywords: Handwritten character recognition
Similar characters
Gradient features descriptor
Discriminative region
Issue Date: 2019
Publisher: Expert Systems with Applications, Elsevier
Citation: Papangkorn Inkeaw, Jakramate Bootkrajang, Sanparith Marukatat, Teresa Gonçalves, and Jeerayut Chaijaruwanich. Recognition of similar characters using gradient features of discriminative regions. Expert Systems with Applications, 134:120–137, Elsevier, 2019. ISSN 0957-4174.
Abstract: One important and challenging issue in handwritten character recognition is the discrimination of visually similar characters. In this paper, we propose a character recognition method for distinguishing similar characters by augmenting commonly used image feature with gradient features from potentially discriminative image regions. The discriminative regions of similar characters sets are automatically detected by analysing the weight vectors of the sparsity promoting logistic fused Lasso method. The histogram of oriented gradients is adopted to compactly represent the gradient features. Additionally, the locality preserving projection method is employed to alleviate the high dimensional nature of the resulting feature vectors. Experimental results on handwritten Lanna Dhamma and Thai characters datasets demonstrate the capability of the proposed method in discriminating visually similar characters. The method also outperforms existing character recognition methods by considerable margins. It has a great potential for character recognition of other alphabets.
Type: article
Appears in Collections:INF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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