Text recognition in images is an active research area which attempts to develop a computer
application with the ability to automatically read the text from images. Nowadays there is a …

Optical character recognition (OCR) can be a subcategory of graphic design that involves
extracting text from images or scanned documents. We have chosen to make unique …

Handwritten character recognition is among the most challenging research areas in pattern
recognition and image processing. With everything going digital, applications of handwritten …

Recognition rate of offline handwritten English character is still bounded due to large
variation of shape, slants, and scales in hand writings. A sophisticated hand written …

Much traditional software is available for recognising the handwritten characters or digits
and that gets converted to the digital format. But the accuracy level and performance of the …

OCR is the most active, interesting evaluation invention of text cum character processing
recognition and pattern based image recognition. In present life OCR has been successfully …

Research is going on to develop both hardware and software to recognize handwritten
characters easily and accurately. Artificial Neural Network (ANN) is a very efficient method …

Application of artificial neural network in the field of character recognition of printed or
handwritten characters is already into its ease of popularity. Here an attempt has been made …

The ability of a machine to interpret handwritten characters from sources like paper
document, photograph, etc. to some editable computerized form is the first and foremost aim …

In this paper an effort has been made to recognize handwritten English character using
Neural Network. A new feature extraction technique, named Mask Vector Input (MVI), has …