In this paper, a fast and effective method is proposed for recognition of isolated handwritten Devnagri numerals based on JPEG image compression algorithm, ...

The paper also describes a way of deciding the weight coefficients using a simple linear regression model, and shows the effectiveness of the proposed method by ...

TL;DR: A combined system of two rough classification methods based on features of a vector field, one is autocorrelation matrix method, and another is a low ...

Abstract: In order to obtain a low computational cost method (or rough classification) for automatic handwritten character recognition, the paper proposes a ...

This paper also describes a way of deciding the weight coefficients using Linear Regression Method, and shows the effectiveness of the proposed method by ...

Out of the two- or higher-dimensional vector field received from the preprocessing algorithms, higher-dimensional data is extracted. The purpose of this ...

This paper presents the study reports of major process involved in a handwritten character recognition system. We have focus on the various feature extraction ...

This paper describes the application of structural features to the statistical recognition of handwritten characters.

In feature extraction stage each character is represented as a feature vector, which becomes its identity. The major goal of feature extraction is to extract a ...

This review paper aims to summarize the research conducted on character recognition for handwritten documents and offer insights into future research ...