Computer Seminars - Face Recognition Technology

What is Face Recognition? As the name implies, it is referring to the most clear human identifier which is - the face. The face is the most visible part of human anatomy and serves as the first distinguishing factor of a human being. It helps a person to distinguish an individual from the other. Each individual has his own uniqueness and this could be among the most transparent and unique feature of a human being.


A practical application of knowledge is then used together with this process of identifying individuals. Related systems are developed as application of the face recognition concept. How does these system work? Developers came up with the design that is capable of extracting and picking up faces from the crowd and have it equated to an image source - database. The software has the ability to know how the basic human face looks like in order for it to work accordingly. Thus, developers designed these programs (by storing commands) to pinpoint a face and measure its features.

As study shows, each human face has specific distinguishable landmarks (or nodal points) that make up the different facial features. it's been known that there is a large number of nodal points on a human face(about 80) and these include the most commonly known - the distance between eyes, width of the nose, depthless of eye sockets, cheekbones, jaw line and chin.

There are different methods of facial recognition which involve a series of steps that serve to capturing, analyzing and comparing a face to a database of stored images. Some related software was designed to recognize similarities through pattern recognition. Pattern recognition is often used under the names of diagnosis and clarifications. a piece of this software varies on how it's designed to work nevertheless the function and concept is nonetheless the same that is - identifying on facial landmarks. Because of these, facial recognition is difficult to fool since it compares specific proportions and angles of the defined facial features.