Tamil Font Recognition Using Gabor Filters and Support Vector Machines
作者： R. Ramanathan , S. Ponmathavan , L. Thaneshwaran , Arun S. Nair , N. Valliappan
DOI: 10.1109/ACT.2009.156
关键词:
摘要: Tamil Font Recognition is one of the Challenging tasks in Optical Character and Document Analysis. Most existing methods for font recognition make use local typographical features connected component analysis. In this paper, done based on global texture The main objective proposal to employ support vector machines (SVM) identifying various fonts Tamil. feature vectors are extracted by making Gabor filters proposed SVM trained using these features. method found give superior performance over neural networks avoiding minima points. model formulated tested results presented paper. It observed that content independent classifier shows an average accuracy 92.5%.
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