Signature-based document retrieval

A. Chalechale; G. Naghdy; A. Mertins

doi:10.1109/ISSPIT.2003.1341191

Signature-based document retrieval

A. Chalechale, G. Naghdy, A. Mertins

Institut für Signalverarbeitung

University of Wollongong

6 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
Seitenumfang	4
Herausgeber (Verlag)	IEEE
Erscheinungsdatum	01.01.2003
Seiten	597-600
ISBN (Print)	0-7803-8292-7
DOIs	https://doi.org/10.1109/ISSPIT.2003.1341191
Publikationsstatus	Veröffentlicht - 01.01.2003
Veranstaltung	3rd IEEE International Symposium on Signal Processing and Information Technology - Maritim Rhein/Main Hotel, Darmstadt, Deutschland Dauer: 14.12.2003 → 17.12.2003 Konferenznummer: 114394

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur

Dokumente

10.1109/ISSPIT.2003.1341191

Weitere Links

https://www.scopus.com/pages/publications/50649094162

Zitieren

@inproceedings{b3e0d9b3055c497292d502aa6f5c360c,

title = "Signature-based document retrieval",

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.",

author = "A. Chalechale and G. Naghdy and A. Mertins",

year = "2003",

month = jan,

day = "1",

doi = "10.1109/ISSPIT.2003.1341191",

language = "English",

isbn = "0-7803-8292-7",

series = "IEEE Proceedings",

publisher = "IEEE",

pages = "597--600",

booktitle = "Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)",

note = "3rd IEEE International Symposium on Signal Processing and Information Technology <br/>, ISSPIT 2003 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Chalechale, A, Naghdy, G & Mertins, A 2003, Signature-based document retrieval. in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795). IEEE Proceedings, IEEE, S. 597-600, 3rd IEEE International Symposium on Signal Processing and Information Technology
, Darmstadt, Hessen, Deutschland, 14.12.03. https://doi.org/10.1109/ISSPIT.2003.1341191

TY - GEN

T1 - Signature-based document retrieval

AU - Chalechale, A.

AU - Naghdy, G.

AU - Mertins, A.

N1 - Conference code: 114394

PY - 2003/1/1

Y1 - 2003/1/1

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/50649094162

U2 - 10.1109/ISSPIT.2003.1341191

DO - 10.1109/ISSPIT.2003.1341191

M3 - Conference contribution

SN - 0-7803-8292-7

T3 - IEEE Proceedings

SP - 597

EP - 600

BT - Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)

PB - IEEE

T2 - 3rd IEEE International Symposium on Signal Processing and Information Technology <br/>

Y2 - 14 December 2003 through 17 December 2003

ER -

Signature-based document retrieval

Abstract

UN SDGs

Dokumente

Weitere Links

Fingerprint

Zitieren