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

Traditional systems of handwriting recognition have relied on handcrafted features and a
large amount of prior knowledge. Training an Optical character recognition (OCR) system …

The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

Neural networks have made big strides in image classification. Convolutional neural
networks (CNN) work successfully to run neural networks on direct images. Handwritten …

Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …

In order to rapidly build an automatic and precise system for image recognition and
categorization, deep learning is a vital technology. Handwritten character classification also …

Handwritten character recognition is currently getting the attention of researchers because of
possible applications in assisting technology for blind and visually impaired users, human …

The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …

Reaching high accuracy in handwritten character recognition is an essential challenge since
it is widely used in many fields such as signature analysis and forgery detection. Recently …

Abstract Convolutional Neural Network has become very common in the field of computer
vision in recent years. But it comes with a severe restriction regarding the size of the input …