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

Optical Character Recognition (OCR) has been a topic of interest for many years. It is
defined as the process of digitizing a document image into its constituent characters. Despite …

Optical Character Recognition is the area of Pattern Recognition that has a topic of studies
over the past some decades. Optical character recognition is technique of automatically …

Recently, deep learning and character recognition have drawn the attention of many
researchers. The deep neural networks have state-of-the-art performance in solving many …

In this paper, we have described the preparation of a benchmark database for research on
off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text …

There are about 300 million people in India who speak Hindi and write Devnagari script.
Research in Optical Character Recognition (OCR) is popular for its application potential in …

Banking system worldwide suffers from huge dependencies upon manpower and written
documents thus making conventional banking processes tedious and time-consuming …

In many different fields, there is a high demand for storing information to a computer storage
disk from the data available in printed or handwritten documents or images to later re-utilize …

This paper presents a complete Optical Character Recognition (OCR) system for camera
captured image/graphics embedded textual documents for handheld devices. At first, text …

This paper presents a new comprehensive database for isolated offline handwritten
Farsi/Arabic numbers and characters for use in optical character recognition research. The …