The frontier area of research in the field of pattern recognition and image processing is
handwritten character recognition. This leads to a great demand for OCR system containing …

The challenging task in the field of Document Image Analysis is automatic recognition of
handwritten characters present in a scanned document. The recognition of characters in a …

Optical Character Recognition (OCR) is the mechanical or electronic conversion of scanned
images of handwritten, typewritten or printed text into machine-encoded text. It is widely …

This paper presents an OCR (optical character recognition) system for the handwritten
Gurmukhi characters using different wavelet transforms. There is a lot of research work …

This paper presents the application of wavelet processing in the domain of handwritten
character recognition. To attain high recognition rate, robust feature extractors and powerful …

The recognition accuracy of an Optical Character Recognition (OCR) system mainly
depends on the selection of feature extraction technique and the classification algorithm …

The rapid advancement of the computer industry has led to computerization of various fields
throughout the world, including India. Great emphasis is given to facilitate the users to …

Optical Character Recognition is the process of converting an input text image into a
machine encoded format. Different methods are used in OCR for different languages. The …

The Aim of the proposed paper is to recognize offline Hand written Telugu characters using
Optical character recognition, OCR is one of the most popular and challenging topic of …

This article suggests wavelet transform based feature extraction technique for extracting
robust features from Tamil handwritten characters. The algorithm uses feed-forward back …