Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition

Segmentation of On-Line Freely Written Japanese Text Using SVM for Improving Text Recognition

This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. We incorporate the method into the segmentati...

Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition

This paper describes a method of producing segmentation point candidates for on-line handwritten Japanese text by a support vector machine (SVM) to improve text recognition. This method extracts multi-dimensional features from on-line strokes of handwritten text and applies the SVM to the extracted features to produces segmentation point candidates. We incorporate the method into the segmentati...

On-line Handwritten Japanese Text Recognition by Improving Segmentation Quality

This paper describes a method of on-line handwritten Japanese text recognition by improving segmentation quality. The method produces hypothetical segmentation points according to features such as distance and overlap between adjacent strokes. Moreover, it extracts multidimensional features from these hypothetical segmentation points and applies an SVM to the extracted features to produces segm...

Improving Text Segmentation Using Latent Semantic Analysis

Choi, Wiemer-Hastings and Moore (2001) proposed to use Latent Semantic Analysis to extract semantic knowledge from corpora in order to improve the accuracy of a text segmentation algorithm. By comparing the accuracy of the very same algorithm depending on whether or not it takes into account complementary semantic knowledge, they were able to show the benefit derived from such knowledge. In the...

A New Segmentation Technique for Omnifont Farsi Text