Signature-based document retrieval

A. Chalechale, G. Naghdy, A. Mertins

Abstract

This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labeled regions. The database contains document images with Arabic/Persian text combined with English text, headlines, ruling lines, trademark and signature. In particular, Arabic/Persian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angular-radial partitioning of the signature region. Experimental results show the robustness of the proposed method.

OriginalspracheEnglisch
TitelProceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
Seitenumfang4
Herausgeber (Verlag)IEEE
Erscheinungsdatum01.01.2003
Seiten597-600
ISBN (Print)0-7803-8292-7
DOIs
PublikationsstatusVeröffentlicht - 01.01.2003
Veranstaltung3rd IEEE International Symposium on Signal Processing and Information Technology
- Maritim Rhein/Main Hotel, Darmstadt, Deutschland
Dauer: 14.12.200317.12.2003
Konferenznummer: 114394

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