http://iaeme.com/Home/journal/IJARET 778 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 11, November 2020, pp. 778-792, Article ID: IJARET_11_11_073 Available online at http://iaeme.com/Home/issue/IJARET?Volume=11&Issue=11 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI 10.34218/IJARET.11.11.2020.073 : © IAEME Publication Indexed Scopus IMPROVED ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR HANDWRITTEN OPTICAL CHARACTER RECOGNITION U. Ganesh Naidu Research Scholar, Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Tamilnadu, India. Dr. R. Thiruvengatanadhan Assistant Professor, Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Tamilnadu, India Dr. Narayana S. Professor, Department of Computer Science and Engineering, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India Dr. T. Sivaprakasam Assistant Professor,Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Tamilnadu, India Dr. P. Dhanalakshmi Professor, Department of Computer Science and Engineering, Annamalai University, Annamalainagar, Tamilnadu, India ABSTRACT Nowadays Handwritten Optical Character Recognition (OCR) has become a lively as well as demanding area of research in the image processing and pattern recognizing departments. The previous system designed an algorithm for training with a hybrid neural network for the OCR which is written by hand. The FLM demonstrated by integrated combination of the two types of algorithm; Firefly algorithm, the other is Levenberg Marquardt (LM) algorithm in order to train the – neural network. At last, the presented the neural network which is derived from FLM is combined among the feed forward neural network, Also, segregation of features is performed depending on the magnitude of information used to train, quantity of hidden neurons and Quantity of hidden layers. However, it only achieves 95% of accuracy. Therefore, there is a necessity to develop a proper character recognition system that must get high precision. In order to resolve this, the proposed system designed an Improved Adaptive Neuro-Fuzzy Inference System (IANFIS) for handling