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 …

The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern
Recognition published in 2000. Three new chapters, which are research results conducted …

In this paper, we propose a new approach to combine multiple features in handwriting
recognition based on two ideas: feature selection-based combination and class dependent …

A novel descriptor for pattern recognition is proposed by using dual-tree complex wavelet
features and SVM. The approximate shift-invariant property of the dual-tree complex wavelet …

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 …

An invariant pattern recognition descriptor is proposed in this paper by using the radon
transform, the dual-tree complex wavelet transform and the Fourier transform. The radon …

Features play an important role in OCR systems. In this paper, we propose two new features
which are based on distance information. In the first feature (called DT, Distance …

In the present paper, the problem of handwritten character recognition has been tackled with
multiresolution technique using discrete wavelet transform (DWT) and Euclidean distance …

Character recognition is one of the challenging tasks of pattern recognition and machine
learning arena. Though a level of saturation has been obtained in machine printed character …

This paper proposes a simple voting scheme for off-line recognition of handprinted
numerals. One of the main features of the proposed scheme is that this is not script …