NDLI: Document image retrieval using signatures as queries

Content Provider	IEEE Xplore Digital Library
Author	Srihari, S.N. Shetty, S. Siyuan Chen Srinivasan, H. Chen Huang Agam, G. Frieder, O.
Copyright Year	2006
Description	Author affiliation: CEDAR, Buffalo Univ., Amherst, NY (Srihari, S.N.; Shetty, S.; Siyuan Chen; Srinivasan, H.; Chen Huang)
Abstract	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 F-measure were 74.5% and 78.28% respectively
Starting Page	6
Ending Page	203
File Size	419978
Page Count	198
File Format	PDF
ISBN	0769525318
DOI	10.1109/DIAL.2006.17
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Image analysis Software libraries Text analysis Image databases Shape measurement Image retrieval Information retrieval Spatial databases Noise shaping
Content Type	Text
Resource Type	Article

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