Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

In this paper, an overview of human–robot interactive communication is presented, covering
verbal as well as non-verbal aspects. Following a historical introduction, and motivation …

We examine how susceptible jobs are to computerisation. To assess this, we begin by
implementing a novel methodology to estimate the probability of computerisation for 702 …

The aim of this paper is to develop a hybrid model of a powerful Convolutional Neural
Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from …

In the present work, we propose a novel method utilizing only a decoder for generation of
pseudo-examples, which has shown great success in image classification tasks. The …

With more than 10,000 new videos posted online every day on social websites such as
YouTube and Facebook, the internet is becoming an almost infinite source of information …

Unconstrained handwritten text recognition remains challenging for computer vision
systems. Paragraph text recognition is traditionally achieved by two models: the first one for …

Optical character recognition (OCR) method has been used in converting printed text into
editable text. OCR is very useful and popular method in various applications. Accuracy of …

This paper proposes the use of a new neural network architecture that combines a deep
convolutional neural network with an encoder–decoder, called sequence to sequence, to …

Existing techniques for hand-written digit recognition (HDR) rely heavily on the hand-coded
key points and requires prior knowledge. Training an efficient HDR network with these …