Document image analysis and verification using cursive signature

Abdolah Chalechale; Golshah Naghdy; Prashan Premaratne; Alfred Mertins

Document image analysis and verification using cursive signature

Abdolah Chalechale, Golshah Naghdy, Prashan Premaratne, Alfred Mertins

Institute of Signal Processing

University of Wollongong

Abstract

A new approach for document image analysis and verification is presented. The approach utilizes connected component analysis and geometric properties of labelled regions for region of interest extraction. Document images containing Persian/Arabic text combined with English text, headlines, ruling lines, trade mark and cursive signature are used as a test data. Persian/Arabic signature extraction is investigated as a case study. The proposed method uses special characteristics of such signatures for extraction and verification procedures. A set of efficient, invariant and compact features is extracted utilizing spatial partitioning of the signature region. Comparative results exhibit high extraction and verification rates.

Original language	English
Title of host publication	2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)
Number of pages	4
Publisher	IEEE
Publication date	01.12.2004
Pages	887-890
ISBN (Print)	0-7803-8603-5, 978-078038603-7
Publication status	Published - 01.12.2004
Event	2004 IEEE International Conference on Multimedia and Expo - Taipei, Taiwan, Province of China Duration: 27.06.2004 → 30.06.2004 Conference number: 64171

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Cite this

@inproceedings{a01d9c123cc64ffab6be944474e315a8,

title = "Document image analysis and verification using cursive signature",

abstract = "A new approach for document image analysis and verification is presented. The approach utilizes connected component analysis and geometric properties of labelled regions for region of interest extraction. Document images containing Persian/Arabic text combined with English text, headlines, ruling lines, trade mark and cursive signature are used as a test data. Persian/Arabic signature extraction is investigated as a case study. The proposed method uses special characteristics of such signatures for extraction and verification procedures. A set of efficient, invariant and compact features is extracted utilizing spatial partitioning of the signature region. Comparative results exhibit high extraction and verification rates.",

author = "Abdolah Chalechale and Golshah Naghdy and Prashan Premaratne and Alfred Mertins",

year = "2004",

month = dec,

day = "1",

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isbn = "0-7803-8603-5",

series = "IEEE Proceedings",

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pages = "887--890",

booktitle = "2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)",

note = "2004 IEEE International Conference on Multimedia and Expo , ICME 2004 ; Conference date: 27-06-2004 Through 30-06-2004",

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Chalechale, A, Naghdy, G, Premaratne, P & Mertins, A 2004, Document image analysis and verification using cursive signature. in 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763). IEEE Proceedings, IEEE, pp. 887-890, 2004 IEEE International Conference on Multimedia and Expo , Taipei, Taiwan, Province of China, 27.06.04. <https://ieeexplore.ieee.org/document/1394343>

Document image analysis and verification using cursive signature. / Chalechale, Abdolah; Naghdy, Golshah; Premaratne, Prashan et al.
2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763). IEEE, 2004. p. 887-890 (IEEE Proceedings).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Document image analysis and verification using cursive signature

AU - Chalechale, Abdolah

AU - Naghdy, Golshah

AU - Premaratne, Prashan

AU - Mertins, Alfred

N1 - Conference code: 64171

PY - 2004/12/1

Y1 - 2004/12/1

N2 - A new approach for document image analysis and verification is presented. The approach utilizes connected component analysis and geometric properties of labelled regions for region of interest extraction. Document images containing Persian/Arabic text combined with English text, headlines, ruling lines, trade mark and cursive signature are used as a test data. Persian/Arabic signature extraction is investigated as a case study. The proposed method uses special characteristics of such signatures for extraction and verification procedures. A set of efficient, invariant and compact features is extracted utilizing spatial partitioning of the signature region. Comparative results exhibit high extraction and verification rates.

AB - A new approach for document image analysis and verification is presented. The approach utilizes connected component analysis and geometric properties of labelled regions for region of interest extraction. Document images containing Persian/Arabic text combined with English text, headlines, ruling lines, trade mark and cursive signature are used as a test data. Persian/Arabic signature extraction is investigated as a case study. The proposed method uses special characteristics of such signatures for extraction and verification procedures. A set of efficient, invariant and compact features is extracted utilizing spatial partitioning of the signature region. Comparative results exhibit high extraction and verification rates.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-11244292345&origin=inward&txGid=38ac8bbea6236430b4b9490ab8f60216

M3 - Conference contribution

SN - 0-7803-8603-5

SN - 978-078038603-7

T3 - IEEE Proceedings

SP - 887

EP - 890

BT - 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)

PB - IEEE

T2 - 2004 IEEE International Conference on Multimedia and Expo

Y2 - 27 June 2004 through 30 June 2004

ER -

Document image analysis and verification using cursive signature

Abstract

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