Document image retrieval through word shape coding.
This paper presents a document retrieval technique that is capable of searching document images without OCR (optical character recognition). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape features including character ascenders/descenders, character holes, and character water reservoirs. With the annotated word shape codes, document images can be retrieved by either query keywords or a query document image. Experimental results show that the proposed document image retrieval technique is fast, efficient, and tolerant to various types of document degradation.
Lu
Shijian
S
Institute for Infocomm Research, Agency for Science,Technology and Research (A*STAR), 21 Heng Mui Keng Terrace, Singapore. slu@i2r.a-star.edu.sg
Li
Linlin
L
Tan
Chew Lim
CL
D001185:Artificial Intelligence; D003628:Database Management Systems; D016208:Databases, Factual; D004282:Documentation / Q000379:methods*; D001330:Electronic Data Processing / Q000379:methods; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D007802:Language; D010363:Pattern Recognition, Automated / Q000379:methods*; D011932:Reading