基于索引的快速手写中文文档关键词检索

摘要

In document retrieval, high retrieval precision and speed can hardly be achieved simultaneously. A fast keyword spotting method for handwritten Chinese documents is proposed. By this method, keyword spotting is accelerated with accuracy preserved. Firstly, compressed index files are generated from the candidate segmentation recognition lattice of text lines recognition, then keywords are retrieved from the index files. Experimental results on the handwritten Chinese documents database CASIA-HWDB demonstrate the effectiveness of the proposed method. Moreover, it reduces the size of index and the retrieval time.%手写文档检索很难同时保证较高的检索精度和速度.基于上述原因,文中提出快速手写中文文档关键词检索方法,大幅提高检索速度并保持检索精度.该方法基于文本行识别的候选切分-识别网格预先生成压缩的索引文件,然后在索引上快速检索关键词.在手写中文文档数据库CASIA-HWDB上的实验证明文中方法的有效性,该方法不但压缩索引大小,而且缩短词检索的耗时.