The Horizontal Segmentation of Lines in Chinese Handwritten Texts Based on the Intervals (Distances) in Fuzzy Triangles
نویسنده
چکیده
The horizontal segmentation of handwritten text lines is a key step to detect handwritten texts has slant. In this paper, a novel method is proposed based on the fuzzy triangles to bring together and connecting the text lines. This proposed method has been tested on data banks in Chinese languages. In the experiments on the Chinese handwritten texts, a performance of 94.53% was obtained. Abbreviations RLSA=Fuzzy Run Length Smoothing Algorithm ACLM=Adaptive local connectivity map HMMS=Hidden Markov Models
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تاریخ انتشار 2013