Open Access Open Access  Restricted Access Subscription Access

Ancient Tamil Character Recognition from Epigraphical Inscriptions using Image Processing Techniques

Merline Magrina M, Santhi M.


Ancient Tamil characters are recognized and the archeologist are enabled to reveal the 12th century Historical events during Chola period. Due to some inefficiency in the procedure, the research in the field of archeology had a negative impact. By using OCR methodology the ancient Tamil characters in stones are recognized. Through morphological operations the input image follows the steps like pre-processing and subjected to segmentation. The color images are converted to gray image, enhanced and, salt and pepper noise removed. The bounding boxes are used to segment the dilated image through which the features like region properties, corner points, magnitude, and orientation key-points are extracted. Ensemble learning and KNN are used to classify the characters and by using Unicode the classified characters are matched. The segmented rate and Recognition rate are calculated and compared by mapping the exact modern Tamil characters.

Full Text:



Tan Chaing Wei, Sheikh U.U, Ab-Al Hadi Rahman (Mar 2018), “Improved OCR with Deep Neural Network”, IEEE 14th International Colloquium on Signal Processing and its application (ICSPA 2018), pp. 245−259.

Beihai Tan, Chao Hu, Zepei Zhang (Mar 2017), “Character Recognition based on Corner Detection”, IEEE International Conference on Natural computation, Fuzzy System and Knowledge Discovery (ICNC-FSKD), pp. 503−507.

Bhavani. B (2017), “Tamilnadu Historical Documents (Epigraphical Inscriptions)”,

DurgaDevi. K, Uma Maheswari. P (Jun 2017), “Insight on Character Recognition for calligraphy digitization”, IEEE International Innovations in ICT for Agriculture and Rural Development (TIAR), pp. 78−89.

Hyun Bin Joo, Jae Wook Joen (Oct 2017), “Feature point extraction based on improved SIFT algorithm”, International Conference on Control Automation and System (ICCAS), pp. 345−350.

Karunarathne K.G.N.D, Liyanage K.V (Jan 2017), “Recognizing Ancient Sinhala Inscription Characters using Neural Network Technologies”, International Journal of Scientific Engineering and Applied Sciences (IJSEAS), Volume 3, Issue 1, pp. 37−49.

Janani. G, Vaishali. V, Mohan (Apr 2016), “Recognition and Analysis of Tamil Inscriptions and Mapping using Image Processing Technique”, IEEE International Conference on Science and Technology Engineering and Management, pp. 181−184.

Rajasekar. M, Celine Kavitha, Anto Bennet.M (Jan 2016), “Performance and analysis of Handwritten Tamil Character Recognition using Artificial Neural Network”, International Journal of Recent Scientific Research (IJRST), Volume 7, pp. 8611−8615.

Preethi. N, Gunasekaran. T (Feb 2015), “Language Specific Offline character recognition using Neural Network Classifier”, International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), Volume 4, pp. 218−221.

Anitha Mary, Chacko, Dhanya (Jan 2014), “Mutiple Classifier System for Offline Malayalam Character Recognition”, International Conference on Information and Communication Technologies, Volume 46, pp. 86−92.

Robi Polikar (Sep 2010), “Ensemble based systems in decision making”, IEEE Circuits and Systems Magazine, Volume 6, pp. 21−45.


  • There are currently no refbacks.