Proceedings ArticleDOI
Enhancement of inscription images
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TLDR
The proposed method improves word and character recognition accuracies of the OCR system by 65.3% and 54.3%, respectively, and is a suitable method for separating signals from a mixture of highly correlated signals.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 neither possess 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.read more
Citations
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Journal ArticleDOI
Impact of Total Variation Regularization on Character Segmentation from Historical Stone Inscriptions
TL;DR: In this article, an automatic segmentation scheme for accurate segmentation of characters from Historical Handwritten Kannada Stone Inscription images is presented in which a framework of TVR enhancement and Connected Component Labeling segmentation is implemented and evaluated on the dataset of digitized Estampages of historical Handwritten Karnada stone Inscriptions (EHHKSI).
Proceedings ArticleDOI
Ancient Tamil Character Recognition from Stone Inscriptions – A Theoretical Analysis
TL;DR: A detailed analysis of the recent research works on character recognition from the images of stone inscriptions with a special reference to Tamil is given in this article , which gives a road map for future researchers who wish to carry out research in this area.
Book ChapterDOI
Processing of Historic Inscription Images
TL;DR: The study and analysis of epigraphy is important for knowing about the past as discussed by the authors, and from around third century to modern times, about 90,000 inscriptions have been discovered from different parts of India.
References
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