Versatile search of scanned Arabic handwriting

Authors:
Sargur N. Srihari;Gregory R. Ball;Harish Srinivasan
Affiliations:
Center of Excellence for Document Analysis and Recognition, University at Buffalo, State University of New York, Amherst, New York;Center of Excellence for Document Analysis and Recognition, University at Buffalo, State University of New York, Amherst, New York;Center of Excellence for Document Analysis and Recognition, University at Buffalo, State University of New York, Amherst, New York
Venue:
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Year:
2006

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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).