12th Century Ancient Tamil Character Recognition From Temple Wall Inscriptions
i-manager’s Journal on Embedded Systems · 2012
Offline ancient Tamil text recognition is the process of finding letters and words that are present in the Ancient stone inscriptions. However, in the off-line systems, the neural networks have been successfully used to yield comparably high recognition accuracy levels. The off-line ancient Tamil Character recognition continues to be an active area of Research towards exploring the newer techniques that would improve recognition accuracy (C. L. Liu and C. Y. Suen [3]). The first important step in any ancient Tamil recognition system is pre-processing followed by segmentation and feature extraction. Pre-processing includes the steps that are required to shape the input image into a form suitable for segmentation. In the segmentation, the input image is segmented into individual characters and then, each character is resized into m x n pixels towards training the network. The selection of appropriate feature extraction method is probably the single most important factor in