This is what is involved.

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Note added at 41 mins (2017-03-15 21:32:36 GMT)
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See:
Distributed software system for image recognition
The practice of criminology shows that it is necessary to allocate about 30 special points on the image of a human face [3,4], that will be most resistant to small changes (angle, lighting, facial expressions, cosmetics, age-related changes).
The reference cited is:
[3] Зинин A.М., Кирсанова Л.З. Криминалистическая фотопортретная экспертиза. – М.: МВД СССР ВНКЦ, 1991. – 88с.
http://www.masters.donntu.org/2010/fknt/kolesnik/diss/indexe...

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СИСТЕМА КОМПЬЮТЕРНОГО РАСПОЗНАВАНИЯ ЛЮДЕЙ
ПО ФОТОПОРТРЕТАМ

Так, например, идентификация человека по изображению его лица может применяться в системах контроля удостоверений личности (паспорта, водительских прав) информационной безопасности (доступ к компьютерам, базам данных и т.д.), наблюдения и расследования криминальных событий, а также в банковской сфере (банкоматах, системах удаленного управления счетом) [1, 2].

Kazimov T.H., Mahmudova Sh.J.
Institute of Information Technology ANAS, Baku, Azerbaijan
[email protected]
System of computer recognition of people on photographs
The technique of search of the person in base of images on its photograph is considered. On the basis of the chosen identification points of the person, distances between them are calculated. Identification signs of the person are defined by the way which is essentially distinct from she ones used before.
Key words: identification, base of images, anthropometrical points, signs, key signs.

References in English:
7. Starovoitov V., Samal D., Votsis G., Kolias S. Geоmetric features for face recognition // Proc. PRIP'99, Minsk, Belarus, May 18–20, 1999.
8. Achermann B. and H. Bunke Combination of face classifiers for person
identification // Proceedings ICPR, 1996. –Vol. 4. – P.416–420.
9. Abay E., Akarum L. and Alpaydyn E. A comparative analysis of different feature sets for face recognition // Proceedings ISCIS, Antalya, 1997.
10. Brunelli R. and Poggio T. Face recognition: features versus templates //IEEE
Transactions on Pattern Analysis and Machine Intelligence, 1993. – Vol.15. No 10.
P.1042–1052.
11. Cox I. J., Ghosn J. and Yianilos P. N. Feature-based face recognition using mixture
distance // NEC Research Institute, Technical Report #95–09, 1995.
12. Kanade T. Picture processing by computer complex and recognition of human faces
// PhD thesis, Kyoto University, 1973

http://jpit.az/storage/files/article/fafbe3003a1fe0ec323d511...

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A face recognition system is a computer application capable of identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a face database.
https://en.wikipedia.org/wiki/Facial_recognition_system
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