RECOGNITION OF ONLINE HANDWRITTEN TELUGU LETTERS FOR DIFFERENT DOMAINS AND ORGANIZATIONS
PVR Murthy, Ch. G.V.N. Prasad · Journal of Critical Reviews · 2019
Machine learning and neural networks are trending technologies used in different kinds of handwritten (HW) pattern recognition of various research areas. Therefore it is very hard to distinguish and recognise the hand written characters of different persons. Recognition of characters related to telugu language is a part of pattern reorganisation that happen to the idea of research during the past some years. Neural networks (NN) are playing a significant role in telugu HW character recognition. HW detection is the capability of a digital computer to receive and understand intelligible HW input from documents, images, touch screens and other electronic devices etc. These all may be online or offline, in this context online recognition includes conversion of pen tip digital movements into a list of originates used as input for the categorization system where as offline recognition uses images of characters like input. For HW reorganization NN has been achieved and improve the efficiency up to 98.3% this is good achievement.