7TH CENTURY ANCIENT TAMIL CHARACTER RECOGNITION FROM TEMPLE WALL INSCRIPTIONS
Journal Title: Indian Journal of Computer Science and Engineering - Year 2012, Vol 3, Issue 5
Abstract
Recognition of any ancient Tamil characters with respect to any language is complicated, since the ancient Tamil characters differ in written format, intensity, scale, style, and orientation, from person to person. Researchers for the recognition of ancient Tamil languages and scripts are comparatively less with other languages, this is a result of the lack of utilities such as Tamil text databases, dictionaries etc. The problem of ancient Tamil character recognition is the technical challenge than other languages in respects to the similarity and complexity of characters that are composed of circles, holes, loops and curves. Hence ancient Tamil recognition requires more research to reach the ultimate goal of machine simulation of human reading. In this paper, we have made an attempt to recognize ancient Tamil characters by using SIFT features and presented a new and efficient approach based on bag-of key points representation. Collection of SIFT features are first extracted from local patches on the pre-processed images, and they are then quantized by K-means algorithm to form the bag-of-key points representation of the original images. These fixed-length feature vectors are used to classify the characters. A recognition system consists of the activities, namely, digitization, pre-processing, feature extraction and classification. This system achieves a maximum recognition accuracy of 84% using SIFT features.
Authors and Affiliations
Rajakumar S. , Dr. Subbiah Bharathi V.
Keywords
Related Articles
- EP ID EP86986
- DOI -
- Views 203
- Downloads 0
A Technique to improve Security of Data in Multilevel Trust
The Privacy Preserving Data Mining technique that is used widely to conserve security of data is a random perturbation method. The original data is modified and many copies are created according to the trust levels in ea...
COMPARATIVE STUDY OF NEXT GENERATION HIGH SPEED WIRELESS NETWORKS
Advances in mobile communication theory have enabled the development of different wireless access technologies. Alongside the revolutionary progress in wireless access technologies, advances in wireless access devices su...
SHORT SURVEY ON GRAPHICAL DATABASE
This paper explores the features of graph databases and data models. The popularity towards work with graph models and datasets has been increased in the recent decades .Graph database has a number of advantage over the...
RECONCILIATION OF CHANGES ON XML LISTS
In this research, we developed an efficient reconciliation method for mobile environments by using edit scripts of XML data sent from each mobile device. To obtain a simple model for mobile devices, we use the XML list d...
NOVEL SCHEME FOR THE REMOVAL OF BLOTCHES, BLACK BAND NOISE, STREAKS AND IMPULSE NOISE IN GRAY SCALE IMAGES
A Threshold based fixed 3x3 Non linear filter for the removal of image artifact such as blotches, black band noise, streaks and impulse is proposed. The algorithm detects the corrupted pixel, if the absolute difference b...