Prism Tree Shape Representation Based Recognition of Offline Tamil Handwritten Characters

• Published in: Proceedings of the First International Conference on Computational Intelligence and Informatics Vol. 507; pp. 457 - 470
• Main Authors: Raj, M. Antony Robert, Abirami, S., Murugappan, S., Baskaran, R.
• Format: Book Chapter
• Language: English
• Published: Singapore Springer 2016; Springer Singapore
• Series: Advances in Intelligent Systems and Computing
• Subjects: Artificial intelligence; Chain code; Communications engineering / telecommunications; Hierarchical SVM; Life sciences: general issues; Prism tree
• ISBN: 9811024707; 9789811024702
• ISSN: 2194-5357; 2194-5365
• DOI: 10.1007/978-981-10-2471-9_45

Optical Character Recognition (OCR) is a unique and challengeable filed in pattern recognition. Identically demand is still present in OCR, where various works has been coming up to provide acceptable solutions. In this field, Tamil hand written recognition is getting popular due to the desire of Tamil lovers in computerizing the Tamil language which includes handwritten documents also. This task is not an easiest one, due to its curvy shape and variation in structure of shape when people are writing. Here the treatment must be happened on the structure level to address entire shapes. This paper mainly focuses on identifying the shape of the structure, where the shape of the structure is derived from the formation of the triangle based hierarchical representation. Prism Tree algorithm is utilized to complete this task, where the shape is located by the tree representation. Finally vector values are extracted from the shape representation of tree. Hierarchical based Support Vector Machine (SVM) is used for predicting the character from those vector values. Good results are achieved when the shape of the character structure is well suited for real character nature.