Liang, Y. and Fairhurst, M.C. and Guest, R.M. (2012) A Synthesised Word Approach to Word Retrieval in Handwritten Documents. Pattern Recognition, 45 (12). pp. 4225-4236. ISSN 0031-3203.
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Recent technological advances have enhanced the computer-based indexing and searching of digitised printed books. The performance now achievable in this domain, however, does not at present extend to handwritten texts which inherently contain more significant letter-based variation within their content. Furthermore, in most studies that address the handwritten text retrieval problem, a large training dataset is required which, very often, influences the context and search lexicon. In this paper a novel method is described to overcome the training data problem using a character-based modelling (termed grapheme spectrum) approach and a word modelling technique (termed synthesised word) enabling the retrieval of keywords that have not explicitly been seen in the training set. When tested on an illustrative historical manuscript the performance of the proposed word retrieval technique shows a clear advantage over existing methods.
|Uncontrolled keywords:||Handwriting analysis; Digital archives; Handwritten word retrieval; Word spotting; Information retrieval; Handwriting recognition; Historical manuscript analysis|
|Subjects:||T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image Analysis, Image Processing
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications) > TK7880 Applications of electronics (inc industrial & domestic) > TK7882.P3 Pattern Recognition
|Divisions:||Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering|
|Depositing User:||J. Harries|
|Date Deposited:||09 Oct 2012 10:48|
|Last Modified:||31 Jan 2013 10:02|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/31422 (The current URI for this page, for reference purposes)|
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