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DIAL
2006
IEEE

Document Image Retrieval using Signatures as Queries

13 years 8 months ago
Document Image Retrieval using Signatures as Queries
In searching a repository of business documents, a task of interest is that of using a query signature image to retrieve from a database, other signatures matching the query. The signature retrieval task involves a two-step process of extracting all the signatures from the documents and then performing a match on these signatures. This paper presents a novel signature retrieval strategy, which includes a technique for noise and printed text removal from signature images, previously extracted from business documents. Signature matching is based on a normalized correlation similarity measure using global shape-based binary feature vectors. In a retrieval task involving a database of 447 signatures, on an average 4.43 out of the top 5 choices were signatures belonging to the writer of the queried signature. On considering the Top 10 ranks, a F-measure value of 76.3 was obtained and the precision and recall values at this Fmeasure were 74.5% and 78.28% respectively.
Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Ha
Added 11 Jun 2010
Updated 11 Jun 2010
Type Conference
Year 2006
Where DIAL
Authors Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Harish Srinivasan, Chen Huang, Gady Agam, Ophir Frieder
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