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 …

Classification is a process to pull out patterns from a number of classes by using various
statistical properties and artificial intelligence techniques. The problem of classification is …

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 …

Handwritten character recognition is one of the most challenging and ongoing areas of
research in the field of pattern recognition. HCR research is matured for foreign languages …

Optical Character Recognition plays an important role in Digital Image Processing and
Pattern Recognition. Even though ambient study had been performed on foreign languages …

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 …

Abstract Offline Handwritten Character Recognition of Malayalam scripts have gained
remarkable attention in the past few years. The complicated writing style of Malayalam …

The paper proposes an efficient and novel approach of Malayalam character recognition
which acquires higher recognition rate for entire character set of Malayalam script. The …

Automatic reading level for detection and classification is a challenging problem in machine
learning. A multilevel feature extraction-based self-organized model may be useful to …