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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
X. Y. Liu, Griffith University
M. Blumenstein, Griffith University
This paper describes and analyzes the performance of a structural feature extraction technique for the recognition of segmented/cursive characters that may be used in the context of a segmentation-based, handwritten word recognition system. The Modified Direction Feature (MDF) extraction technique builds upon a previous technique proposed by the authors that extracts direction information from the structure of character contours. This principle is extended so that the direction information is integrated with a technique for detecting transitions between background and foreground pixels in the character image. The MDF technique used in conjunction with neural network classifiers provide recognition rates of up to 90.24%, which are amongst the highest in the literature. This paper also presents a detailed analysis of the characters that were the source of misclassification in the character recognition process. The characters used for experimentation were obtained from the CEDAR benchmark database.
Citation:
X. Y. Liu, M. Blumenstein, "Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition," iwfhr, pp.353-358, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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