TAMIḺ EḺUTTU VARIVAṬIVA CĪRAMAIPPU [TAMIL SCRIPT REFORM]

Formation of the alphabet is a long evolved by human creation. It is natural for such works to have flaws and to be corrected over the time. Similarly, the Tamil script is subject to considerable change. Such reforms in the formation of Tamil alphabet plays an important role in the Tamil alphabet development. The Tamil alphabet has 12 vowels and 18 consonants. These combine to form 216 compound characters. Beside that there is one special character called as ayutha eluttu Therefor the number of alphabets in Tamil are 247. These characters have undergone various changes from the 6th century BC to the present days. The purpose of this study is to illustrate the Tamil script reformation. This study is based on library research work. The main texts of this work are from the books like Tamil Eluttu Cheeramaippu and Tamil Eluttin Varivadivam. This study, is done by studying the Tamil script reform and its related works.

Iyothee Thass Alternate Script

Veera Maa Munivar is known as the pioneer in the reformation of Tamil script. Next to him, comes Periyar. But, Pandit Iyothee Thass, the precursor of Periyar is not brought into the picture. Iyothee Thass, a versatile scholar is not known to many because of his religious based ideologies. His research was based on the ideologies of Buddhism. All his activities were carried out following Buddha’s teachings. He whipped the Brahmins for suppressing the lay people, untouchables, Paraiyar, Pulaiyar on the basis of casteism and pointed out their mistake in treating them as slaves and pulling down their economy. He opines that Buddists and Jains protected and nurtured Tamil language. He brings out his devotion towards Buddha by interpolating Buddhas’s teachings even in the script changing process of ‘mai’ and ‘mei’.

Classification of Handwritten Tamil Characters using Variable Length Puzzle Pieces

offline handwritten character recognition system has been a challenge for Indian scripts, especially for South Indian languages. Huge number of characters of local languages including alphabets, consonants and composite characters make the recognition system more complicated. A good recognition system for subset of Tamil script, a famous South Indian script, is proposed in this work. Variable length feature vector is extracted from the thinned character image. This extracted feature is given to a novel simple classification algorithm which works based on probability. A subset of Tamil script, 20 character classes, is considered for experiment. The samples were taken from HP Labs dataset for Tamil language and a recognition accuracy of 88.15% has been produced.

An Efficient Ancient Tamil Script Classification System using Gradient Boosted Tree Algorithm

A variety of historical information’s has been derived and obtained from the various forms of inscriptions existing worldwide. Regional languages of certain selected sources have been employed in the inscription writing procedures. One such regional language with a wealthy literature and heritage that can be suitably opted for the inscription writing process is ‘Tamil’. Encryption of the writing was done with the help of certain materials such as metals, conch shells, stones, palm leaf, and copper plate. These are found to be rich in the data contents related to the fields of history, religious, administrative, astronomy, culture, economic tax and educational conditions. This paper incorporates certain feature extraction methods like Shape and Hough transform and Gradient Boosting tree as classifiers for identifying the ancient Tamil script.