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Versatile Search of Scanned Arabic Handwriting

Identifieur interne : 000B62 ( Main/Merge ); précédent : 000B61; suivant : 000B63

Versatile Search of Scanned Arabic Handwriting

Auteurs : N. Srihari [États-Unis] ; R. Ball [États-Unis] ; Harish Srinivasan [États-Unis]

Source :

RBID : ISTEX:6D89456B50CDCD45D5290EEA8C61E048C919E5DA

Abstract

Abstract: Searching handwritten documents is a relatively unexplored frontier for documents in any language. Traditional approaches use either image-based or text-based techniques. This paper describes a framework for versatile search where the query can be either text or image, and the retrieval method fuses text and image retrieval methods. A UNICODE and an image query are maintained throughout the search, with the results being combined by a neural network. Preliminary results show positive results that can be further improved by refining the component pieces of the framework (text transcription and image search).

Url:
DOI: 10.1007/978-3-540-78199-8_4

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ISTEX:6D89456B50CDCD45D5290EEA8C61E048C919E5DA

Le document en format XML

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<div type="abstract" xml:lang="en">Abstract: Searching handwritten documents is a relatively unexplored frontier for documents in any language. Traditional approaches use either image-based or text-based techniques. This paper describes a framework for versatile search where the query can be either text or image, and the retrieval method fuses text and image retrieval methods. A UNICODE and an image query are maintained throughout the search, with the results being combined by a neural network. Preliminary results show positive results that can be further improved by refining the component pieces of the framework (text transcription and image search).</div>
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