26 August 2016
Facial recognition is both a science as well as an art and definitely more than just getting the best engine. While there are various theories available on getting it correct, it depends on real situation on ground to achieve the intended result. Apart from quality of enrolled and probe images, it is relatively important to consider other non-technical aspect which could be equally important. This guide does not gives you a special formula to cover all situation, but to provide sufficient guidance to achieve optimum result. Many of it might be very minor that one could easily missed out and spend much time and resources to eventually rectify it.
Download from this link Xeric Facial Recognition Whitepaper