Face recognition using IPCA-ICA algorithm

Abstract

In this paper, a fast incremental principal non-Gaussian directions analysis algorithm, called IPCA-ICA, is introduced. This algorithm computes the principal components of a sequence of image vectors incrementally without estimating the covariance matrix (so covariance-free) and at the same time transforming these principal components to the independent directions that maximize the non-Gaussianity of the source. Two major techniques are used sequentially in a real-time fashion in order to obtain the most efficient and independent components that describe a whole set of human faces database. This procedure is done by merging the runs of two algorithms based on principal component analysis (PCA) and independent component analysis (ICA) running sequentially. This algorithm is applied to face recognition problem. Simulation results on different databases showed high average success rate of this algorithm compared to others.

Real Time Rain Removal from Live Video using FPGA and Raspberry Pi

“…In most recent research, ICA algorithm is mostly used for noise removal, by converting Gaussian elements in an image into non-Gaussian, like the work of [6]. They called this principal IPCA-ICA and used it to compute the principal components for a covariance-free matrix.…”

An Advance Approach of Face Recognition using PCA and Region Base Color Segmentation

“…One of the most commercially manner available biometric technologies, fingerprint recognition devices for desktop and laptop access are now usually available from many different laptop makers at a low cost. [6] …”

“…[6] Although computer programs are commonly designed to produce an accurate and well-defined reaction upon receiving the appropriate (and equally accurate) input, the human voice and spoken words are anything but accurate. Each human voice is different, and identical words can have different meanings if spoken with different dissimilarities or in different contexts.…”

Incremental Non-Gaussian Analysis on Multivariate EEG Signal Data

“…Incremental nonGaussian independent analysis has been proposed as a new feature extraction method for face recognition tasks and human hand Recognition [3], [4]. The incremental model works by processing the data at each input vector, and the historical data are stored in a few variables.…”