Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …

This paper deals with the recognition of handwritten Malayalam character using wavelet
energy feature (WEF) and extreme learning machine (ELM). The wavelet energy (WE) is a …

Offline handwriting recognition in Indian regional scripts is an interesting area of research as
almost 460 million people in India use regional scripts. The nine major Indian regional …

Handwritten character recognition is always a frontier area of research in the field of pattern
recognition and image processing and there is a large demand for OCR on hand written …

In this paper, we propose a novel hand written character recognition system using a
combination of gradient-based features and run length count (GBF–RLC). The performance …

Gradient of images is an effective discriminative feature, widely used in pattern recognition
applications. In this work the twelve directional codes depending on the gradient direction is …

The handwriting recognition in Malayalam is a challenging as well as emerging area of
pattern recognition. It is a tedious process mainly due to its enormous character set. Here we …

The machine recognition of handwriting has been studied several decades, and still is an
active research area due to the presence of many challenging issues. Several measures …

The strength of the selected feature and the effectiveness of the classifier are the two key
factors determining the performance of a handwritten Character Recognition System. In this …

This paper presents handwritten non-cursive Sinhala character recognition method based
on discrete feature extraction of the well thinned character. Study presents adjacent pixel …