A Face recognition system is a biometric software app qualified to identify and verify a person from a digital image or a video frame from a video source, by mapping facial features, characteristics, and dimensions comparing the information with the immense databases of faces. Facial recognition is most commonly employed for safety reasons. In today’s world, facial recognition system has encountered significant recognition considering its perspective for a broad array of approaches with respect to enforcement of law and other endeavors.

Face recognition was originally a form of a computer application which has envisaged wider applications recently in mobiles and robotic technologies. It is generally used in security systems and can be juxtaposed to other biometrics such as a fingerprint or a retina scan. Lately, it has also become popular as a commercial identification and a marketing tool.

There are two types of facial recognition proficiencies like the generalized matching face detection method and the adaptive regional blend matching method. Face recognition systems function is based on various nodal points on a human face. Different nodal points on a human face are taken into account by the face recognition system. The values allotted against the variables related with nodal points of a human face aid in uniquely verifying or identifying a person. This technology application can employ data seized from faces and instantly identify individuals. Face recognition is evolving with fresh techniques like 3-D modeling, aiming to conquer complications along with prevailing approaches.

As face recognition turns out to be more familiar, it is crucial to understand its working in terms of what face recognition can or cannot do, and how the mechanism is advancing.


Face recognition employs a much more commanding diction, which your mobile phone or computer networks employ to recognize friends in your photos. Using computers to identify faces of people and authorize their identities can well organize access control for the safety of government and corporate structures and devices.

Facial recognition is one of the several techniques of identification systems called the ‘biometric’ identification system. Facial recognition scrutinizes physical characteristics of a person’s face, attempting to differentiate one individual from others.  All the identification systems employ data, which is mostly a photograph from a mysterious person, examining the statistics in the input and striving to match with existing entries with a known person’s face or videos. The overall facial structure in addition to the distance between the eyes, mouth, nose and jaw edges are studied carefully. These measurements are memorized in a database and used as a comparison when a person stands before the camera. This system is very popular as it is recognized as a terrific system of identifying probable threats.

The following 4 stages illustrate the way a biometric system operates:


Capture: A physical sample is captured by a system. The process of enrolling photos is effectively the capture or the introduction stage. When a person enrolls pictures, your application sends a picture that includes a particular persons face. As the end users of the application enroll pictures of people, they may sense the need to batch them in several ways.

If your application is a safety application, there may arise a necessity to form various batches of people based on various security clearances and in an educational app a school might like to classify the enrolled faces according to their grades, which can be done by integrating pictures in galleries.

Extraction: Unique data is extracted from the sample and a template is created. Once the picture is taken, the computer software analyses and examines the image to recognize where the faces are, like amidst a crowd. Ina shopping mall, security cameras will arrest faces with the face recognition software program to recognize people in that video.

Once the faces are recognized by the system in the video, it examines the picture more carefully. There could be situations where the pictures need reorientation because a face which is captured pretty close to the camera might appear tilted or slightly stretched and another face which is behind might appear small and even slightly hidden. A numerical code is created when the nodal points are measured which is called a face print. Once the picture of the face is resized, it examines the face even more precisely attempting to create a face print. Components of a faceprint include correlative points of facial characteristics such as eyes, nose and eyebrows shape. An individual with large eyes, thin eyebrows, and a wide nose is bound to have a varying face print from a person who has small eyes, thick eyebrows, and a narrow nose.

Comparison: The impression is later contrasted with a new sample. Facial recognition works by comparing landmarks, specific proportions, angles, and features which cannot easily be hidden by beards, eyeglasses, and make-up. A faceprint is then equated with a one photograph validating the individuality of a person you know which could even be an employee pursuing to access a secured area. Faceprints can even be contrasted to databases of multiple images hoping to identify an unknown face.

Corresponding: Matching is a process in which the system determines if the features extricated from the fresh sample are corresponding or not. The biometric system seeks to identify the users face and performs matches against a requested identity or a facial database, when the user looks into the camera, walking at an overall distance of about two feet from it. The user may sense a necessity to proceed and retry the verification depending on his facial position. The biometric system mostly takes a resolve in not more than 5 seconds.

Face recognition is in use in many law enforcement areas. It is currently gaining authenticity as a prospective engine for preventing terrorist crimes. Automated bank tellers and computer networks have also designed software’s that use facial recognition for verification purposes.

Non-intrusive nature of facial recognition is one of the biggest benefits. Without requiring the user to wait for a long period of time, verification and identification can be achieved from a distance of about two feet or more. All these potential features of face recognition signify its importance in areas of heavy footfall like Railway Stations and Bus stands, airports, Cricket and Football stadiums, Banks, Government offices, Multinational corporations and many more.


Binit is the owner of Networklovers(.)com. He loves to read, share and explore the latest technology, simply he is a Passionate Blogger a Tech Lover. He shares unique, Quality and Informative information on different topic Related to Networks and Technology.

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