Document image analysis and verification using cursive signature

Abdolah Chalechale, Golshah Naghdy, Prashan Premaratne, Alfred Mertins


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 languageEnglish
Title of host publication2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763)
Number of pages4
Publication date01.12.2004
ISBN (Print)0-7803-8603-5, 978-078038603-7
Publication statusPublished - 01.12.2004
Event2004 IEEE International Conference on Multimedia and Expo - Taipei, Taiwan, Province of China
Duration: 27.06.200430.06.2004
Conference number: 64171


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