Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization

Recognizing signs and fonts of prehistoric language is a fairly difficult job that requires special tools. This stipulation make the dispensation period overriding, tiresome to calculate. paper present technique for recognizing ancient south Indian languages by applying Artificial Neural Network (ANN) associated with Opposition based Grey Wolf Optimization Algorithm (OGWA). It identifies language, fonts. an apparent from ANN system arbitrarily produced weights or neurons linking various layers play significant role in its performance. For adaptively determining these weights, this applies optimization algorithms such as Optimization, Particle Swarm system. Performance results are illustrated proposed ANN-OGWO achieves superior accuracy over other techniques. In test case 1, value OGWO 94.89% 2, 92.34%, on average, 5.8% greater than ANN-GWO, 10.1% ANN-PSO 22.1% conventional technique.