A keyword retrieval system for historical Mongolian document images

作者：Wei, Hongxi^*; Gao, Guanglai

来源：International Journal on Document Analysis and Recognition, 2014, 17(1): 33-45.

DOI：10.1007/s10032-013-0203-6

• Kanjur
• Word spotting
• Profile features
• Discrete Fourier transform
• Query image synthesis

In this paper, we propose a keyword retrieval system for locating words in historical Mongolian document images. Based on the word spotting technology, a collection of historical Mongolian document images is converted into a collection of word images by word segmentation, and a number of profile-based features are extracted to represent word images. For each word image, a fixed-length feature vector is formulated by obtaining the appropriate number of the complex coefficients of discrete Fourier transform on each profile feature. The system supports online image-to-image matching by calculating similarities between a query word image and each word image in the collection, and consequently, a ranked result is returned in descending order of the similarities. Therein, the query word image can be generated by synthesizing a sequence of glyphs when being retrieved. By experimental evaluations, the performance of the system is confirmed.

• 出版日期2014-3
• 单位内蒙古大学