Wavelet Coefficients and Gradient Direction for Offline Recognition of Isolated Malayalam Characters

In this paper we investigate the motor imagery signals obtained from BCI competition dataset IVA using the Fast Hartley Transform (FHT) for feature vector extraction and

Multiple representation features based on spherical wavelet parameterization of the face image were proposed for the 3D face compression and recognition. The GAVAB

This paper proposes a HOS-based third order cumulant feature extraction from raw CSI traces and applies various feature selection methods derived from information theory,

Essentially, the wavelet transform is signal decomposition onto a set of basis function, which is derived from a single prototype wavelet by scaling dilatations and contractions as well

In this paper, a method of recognizing offline handwritten Devanagari numeral using Daubechies-4 wavelet filter and multilayer perceptron neural network classifier

This paper focuses on a feature extraction technique that combined three characteristics of the handwritten character to create a global feature vector, a hybrid

This thesis represents a step forward on the state-of-the art of optical music recognition with the following contributions: A prototype for capturing gesture-free of musical

The proposed model follows steps such as data extraction, pre- processing using Voice Activity Detector VAD, feature extraction using Mel-Frequency Cepstral Coefficient MFCC, feature