Online writer identification using character prototypes distributions

Siew Keng Chan; Christian Viard-Gaudin; Yong Haur Tay

doi:10.1117/12.766400

28 January 2008 Online writer identification using character prototypes distributions

Siew Keng Chan, Christian Viard-Gaudin, Yong Haur Tay

Proceedings Volume 6815, Document Recognition and Retrieval XV; 68150H (2008) https://doi.org/10.1117/12.766400
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Writer identification is a process which aims to identify the writer of a given handwritten document. Its implementation is needed in applications such as forensic document analysis and document retrieval which involved the use of offline handwritten documents. With the recent advances of technology, the invention of digital pen and paper has extended the field of writer identification to cover online handwritten documents. In this communication, a methodology is proposed to solve the problem of text-independent writer identification using online handwritten documents. The proposed methodology would strive to identify the writer of a given handwritten document regardless of its text contents by comparing his or her handwritings with those stored in a reference database. The output of this process would be a ranked list of the writers whose handwritings are stored in the reference database. The main idea is to use the distance measurement between the distributions of reference patterns defined at the character level. Very few, if any, attempts have been done at this character level. Two sets of handwritten document databases each with 82 online documents contributed by 82 subjects were used in the experiments. The reported result was 95% of Top 1 rate accuracy. Only four writers were identified wrongly, ranked as 2, 4, 5 and 12 choice returned.

Citation Download Citation

Siew Keng Chan, Christian Viard-Gaudin, and Yong Haur Tay "Online writer identification using character prototypes distributions", Proc. SPIE 6815, Document Recognition and Retrieval XV, 68150H (28 January 2008); https://doi.org/10.1117/12.766400

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available