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 …

Extreme learning machine (ELM), a randomized learning paradigm for single hidden layer
feed-forward network, has gained significant attention for solving problems in diverse …

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 …

Compound characters which are one of the features of Marathi script, derived from
Devanagari, occur frequently in the script. Recognition of these characters poses challenges …

Feature extraction plays an essential role in hand written character recognition because of
its effect on the capability of classifiers. This paper presents a framework for investigating …

Handwritten signatures are widely utilized as a form of personal recognition. However, they
have the unfortunate shortcoming of being easily abused by those who would fake the …

A system is developed for recognition of handwritten Farsi/Arabic characters and numerals.
The discrete wavelet transform is utilized to produce wavelet coefficients, which are used for …

In this paper, an automatic system is presented for target recognition using target echo
signals of High Resolution Range (HRR) radars. This paper especially deals with …

ABSTRACT A Neural network is a machine that is designed to model the way in which the
brain performs a particular task or function of interest: The network is usually implemented …

Mawlana Bhashani Science and Technology University Abstract-Handwritten character
recognition is one of the practically important issues in pattern recognition applications. The …