Evaluating Dye Concentration in Bicomponent Solution by PCA-MPR and PCA-ANN Techniques

PCA-ANN Face Recognition System based on Photometric Normalization Techniques

The human face is the main focus of attention in social interaction, and is also the major key in conveying identity and emotion of a person. It has the appealing characteristic of not being intrusive as compared with other biometric techniques. The research works on face recognition started in the 1960s with the pioneering work of Bledsoe and Kanade, who introduced the first automated face rec...

Dynamic Hand Gesture Recognition using PCA, Pruning and ANN

Gesture recognition has the potential to be a natural and powerful tool supporting efficient and intuitive interaction between the human and the computer. The primary goal of hand gesture recognition research is to create a system which can identify specific hand gestures and use them to convey information for device control. This paper proposes a vision-based dynamic hand gesture recognition s...

Face Recognition Techniques using PCA and LDA

Article history: Received 28 January 2015 Accepted 25 February 2015 Available online 6 March 2015

FPGA-Based Fully Parallel PCA-ANN for Spectrum Sensing

The cognitive radio system is proposed as an optimal way to improve the frequency underutilization. Spectrum sensing is the first and the essential function in this approach. A cognitive user must sense his environment to detect the unused channels, and then he can use the free channel without causing any interference to the primary user. In this article, an innovative technique is proposed for...

EM Algorithms for PCA and Sensible PCA

A comparison of three PCA neural techniques

We present a comparison of three neural PCA techniques: the GHA by Sanger, the APEX by Kung and Diamataras, and the { APEX rst proposed by the present authors. Through numerical simulations and computational complexity evaluations we show the {APEX algorithms exhibit superior capability and interesting features.