Tamil Ancient Scripts Collection and Preprocessing using Big Data

  • L Suriya Kala Research Scholar, Mother Teresa Women's University, Kodaikanal, TamilNadu, India
Keywords: Ancient, Preprocessing, Big Data, Sift Algorithm,, Character Recognition

Abstract

Character recognition of Brahmi, Grantha and Vattezuthu Characters from palm original copies of Historical Tamil Ancient Documents, analyzed the content and machine interpreted the present Tamil computerized content organization. In spite of the fact that numerous specialists have executed different algorithms and strategies for character recognition in various dialects, Ancient characters change still represents a big challenge. An offline transcribed Tamil Character Recognition system is typically created considering point-based highlights that depict distinctive geometric qualities of handwriting. Often, because of the wide varieties recorded as hard copy styles, the utilization of point-based highlights bring about high intra-class changeability in include space. In this paper, we have caused an endeavor to perceive ancient Tamil characters by utilizing To filter includes and introduced another and proficient methodology dependent on a pack of the key focuses portrayal.

Published
2020-01-30
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