By Topic

Recursive Text Segmentation for color images for Indonesian Automated Document Reader

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Tjahja, T.V. ; Fac. of Inf. Technol., Swiss German Univ., Tangerang, Indonesia ; Nugroho, A.S. ; Azis, N.A. ; Hikmah, R.M.
more authors

Indonesian Automated Document Reader (I-ADR) is an assistive system for Indonesian citizens with visual impairment, which converts textual information on papers to corresponding speech. I-ADR system is designed to be operated via a voice-based user interface. The system accepts document images as inputs and employs Optical Character Recognition (OCR) and Text-to-Speech (TTS) Synthesizer technology to read the image. This research is focused on Text Segmentation module as an integral part of OCR module, both for color and grayscale images. The Text Segmentation module implements Multivalued Image Decomposition algorithm[1] and Enhanced Constrained Run-Length Algorithm[2], equipped with our proposed recursive method. During the experiments, the algorithm achieved 96% success rate.

Published in:

Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on

Date of Conference:

17-18 Dec. 2011