CHARACTER RECOGNITION FROM IMAGE USING TENSORFLOW AND CONVOLUTIONAL NEURAL NETWORKS
Keshav Gupta, Mohit Kumar, Narayani Sachdeva · International Journal of Engineering Applied Sciences and Technology · 2020
Machine Learning (ML) can be defined as the pc algorithms through which a particular system can learn on it's own with help of experiences.It can be consider as the subset of Artificial Intelligence (AI).Machines acquiring knowledge of various algorithms to build a mathematical model which is based upon given (sample) data, considered as "education statistics", in order to perform decisions or predictions.Machine learning algorithms are widely utilized in various programs encompass e-mail spam and malware filtering, virtual assistant, fraud detection, online customer support [9].Many practices have been made to classify information from handwritten statistics, however the laptop alone hasn't been capable of classify statistics efficiently.Hence, the requirement of handwriting recognition system has come up [13,14].In this undertaking we purpose at constructing a handwritten character popularity system using convolutional Neural Network.Which will be capable of understand the handwritten characters and provide the output using the training dataset i.e(IAM) dataset.