Subject based Deceit Identification using Empirical Mode Decomposition

FPGA based Audio Watermarking using Empirical Mode Decomposition

Digital watermarking is the technique of inserting specific information into signal, data, image or video. Copyright protection, data authentication, covert communication and content identification can be achieved by Digital watermarking. This work aims at developing a robust and secure blind watermarking technique for speech signal. The speech is watermarked using Virtex-5 FPGA which implement...

Writer Identification based on offline Handwritten Document Images in Kannada language using Empirical Mode Decomposition method

Writer Identification based on offline Handwritten Document Images in Kannada language using Empirical Mode Decomposition method

New challenges in computer applications such as web searching, multimedia data retrieval, data mining, face recognition and handwriting recognition has attracted many researchers. Handwriting identification is one of the important research topics in the area of Pattern recognition and image processing. Many methods have been reported for identification of writer

A New Two-dimensional Empirical Mode Decomposition Based on Classical Empirical Mode Decomposition and Radon Transform

Empirical mode decomposition is a method to decompose signals proposed by N.E.Huang et. al in 1998. It can extract adaptively the oscillatory modes at each time from a complex signal, namely it can decompose the signal into a finite (often less) number of intrinsic mode functions (IMFs). With Hilbert transform, the IMFs yield instantaneous frequencies as functions of time, that give sharp ident...

Empirical Mode Decomposition-based Face Recognition System

In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the image and the modes of the representative image of each class is calculated using three different distance measures. Then, a neural network is t...