Holographic technology applied to face location and identification

Abstract

Holographic technology has been successfully applied on a number of applications in the fields of pattern recognition and prediction. A short review of the face recognition problem introduces one to the fundamental aspects of holographic technology, which are briefly discussed so that their similarities and differences from typical neural nets are shown. Some of the applications of this tool are mentioned in this paper. The image base used is of 31 images of 10 different faces with different facial expressions (happiness, anger and sadness). Data describing these human faces is explained including the sets of data for supervised training and generalization of the holographic cell. The results of applying this technology to face location, for this data set, show that performance is well above 99% accuracy which supports holographic cells as a sound tool for pattern recognition.