中文摘要：

在基于识别的界面中用户的满意度不但由识别准确度决定，而且还受识别错误的纠正过程的影响提出一种基于多通道融合的连续手写笔迹识别错误的纠正方法．该方法允许用户通过口述书写内容纠正手写识别中的字符提取和识别的错误．该纠错方法的核心是一种多通道融合算法．该算法通过利用语音输入约束最优手写识别结果的搜索，可纠正手写字符的切分错和识别错．实验评估结果表明，该融合算法能够有效纠正错误，计算效率高与另外两种手写识别错误纠正方法相比，该方法具有更高的纠错效率．

英文摘要：

In recognition-based user interface, users＇ satisfaction is determined not only by recognition accuracy but also by effort to correct recognition errors. In this paper, an error correction technique based on multimodal fusion is introduced. It allows a user to correct errors of Chinese handwriting recognition by repeating the handwriting in speech. A multimodal fusion algorithm is the key of the technique. By constraining the search for the best handwriting recognition result by speech input, the algorithm can correct errors in both character extraction and recognition of handwriting. The experimental result indicates that the algorithm is effective and efficient in computation. Moreover, evaluation also shows the correction technique can help users to correct errors in handwriting recognition more efficiently than the other two error correction techniques.