BIOGRAPHER CREDENTIALS IS DREAMT UP BY CONSUMING THE GEOGRAPHIES

Abstract

Biographer credentials is the process of classifying the specific established on their calligraphy. Calligraphy written in tamil handwritten  paragraphs is consider here to detect the writer. Handwritting parades behavioral characteristics of an individual and has been considered as dis-tinctive. Writers style of writing their own handwriting itself may differ according to different situation and completely different for other writ-ers. Alphabets in the handwritten text may have loops, crossings, junctions, different directions are consider here as a big challenge. Detaining of individual based on their handwriting is more complex and highly challenging task. The model of inventing the tamil writers identi-ty is constructed in the proposed model and it is classified using the classification technique namely NaiveBayes, K- Nearest Neighbor, Decision Tree, Neural Networks and Support Vector Machine. It has been reported about 100% of prediction accuracy by Support Vector Machine and decision tree classification model.