NGFICA Based Digitization of Historic Inscription Images. (7th May 2013)
- Record Type:
- Journal Article
- Title:
- NGFICA Based Digitization of Historic Inscription Images. (7th May 2013)
- Main Title:
- NGFICA Based Digitization of Historic Inscription Images
- Authors:
- Sreedevi, Indu
Pandey, Rishi
Jayanthi, N.
Bhola, Geetanjali
Chaudhury, Santanu - Other Names:
- Cheng L.-M. Academic Editor.
Hwang W.-L. Academic Editor.
Yin P.-Y. Academic Editor. - Abstract:
- Abstract : This paper addresses the problems encountered during digitization and preservation of inscriptions such as perspective distortion and minimal distinction between foreground and background. In general inscriptions possess neither standard size and shape nor colour difference between the foreground and background. Hence the existing methods like variance based extraction and Fast ICA based analysis fail to extract text from these inscription images. Natural gradient flexible ICA (NGFICA) is a suitable method for separating signals from a mixture of highly correlated signals, as it minimizes the dependency among the signals by considering the slope of the signal at each point. We propose an NGFICA based enhancement of inscription images. The proposed method improves word and character recognition accuracies of the OCR system by 65.3% (from 10.1% to 75.4%) and 54.3% (from 32.4% to 86.7%), respectively.
- Is Part Of:
- ISRN signal processing. Volume 2013(2013)
- Journal:
- ISRN signal processing
- Issue:
- Volume 2013(2013)
- Issue Display:
- Volume 2013, Issue 2013 (2013)
- Year:
- 2013
- Volume:
- 2013
- Issue:
- 2013
- Issue Sort Value:
- 2013-2013-2013-0000
- Page Start:
- Page End:
- Publication Date:
- 2013-05-07
- Subjects:
- Signal processing -- Periodicals
Signal processing
Periodicals
621.3822 - Journal URLs:
- http://www.hindawi.com/isrn/signal.processing/ ↗
- DOI:
- 10.1155/2013/735857 ↗
- Languages:
- English
- ISSNs:
- 2090-5041
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17549.xml