The first automated face recognition system was developed by Takeo Kanade in his PhD thesis work in 1973. There was a dormant period in automatic face recognition until the work by Sirovich and Kirby on low dimensional face representation.
The systems generally include a database, known as gallery, consisting of facial images from a set of known subjects of interest.
It is one of the major biometric technologies, has become increasingly important owing to rapid advances in image capture devices (including surveillance cameras, camera in mobile phones), availability of huge amounts of face images on the web, and increased demands for higher security.
There have many efforts to design human face recognition systems some of which have employed artificial neural networks [TURK91] [SOL92] [CAST] [TOOL88] [MIDO88] {PERR90] and others [NAKA91] [WU90] [KAUF76] [WONG89], such as:
*Template matching of iso-density lines of subjects; faces
*Comparing of sizes/relative distance of facial features (nose, eyes, mouth) of subjects facial images
To build a reliable and robust face recognition system, one has to consider various issues:
*Computation and storage
*System engineering
*Security issue
Face recognition system
