Contents Introduction Biometrics Why FRT is having edge over other biometrics? Components of Face Recognition Technology Working of Face Recognition Merits and Demerits Applications
Introduction In todays networked world, the need to maintain the security of information or physical property is becoming both increasingly important and increasingly difficult. We all know that bank and computer system uses PIN, Password, ID’s ,Keys for identification/authentication. These system do not grant access by “who we are” but by “what we have”. Recent cases of identity theft have heighten the needs for the method to prove that someone is truly he/she claims to be. Technology become available to allow verification of “true” individual identity. This tech. is based on field called “biometrics”. Face Recognition is the fastest biometric technology. It works with the most obvious individual identifier i.e. the human face because it is undeniably connected to its owner and is non- transferable.
Biometrics Biometrics includes the methods for uniquely recognizing humans based on one or more physical or behavioral traits. Physiological biometrics : Based on measurements and data derived from direct measurement of a part of the human body. Finger-scan Facial Recognition Iris-scan Retina-scan Hand-scan Behavioral biometrics : Based on measurements and data derived from an action. Voice-scan Signature-scan Keystroke-scan
Biometrics The first time an individual uses a biometric system is called an enrollment. During the enrollment, biometric information from an individual is stored.
“Biometric System” Working t Stored m en r oll Templates Biometric System En Test Test Feature TemplatePre-Processing Matcher Extractor Generator Sensor Application Devices
Why FRT is having edge over other Biometrics It requires no physical interaction on behalf of the user. It is accurate and allows for high verification rates. It does not require an expert to interpret the comparison result. It is the only biometric that allow you to perform passive identification in a one to many environments.
“ Face Recognition System “ Components Enrollment Module Database Identification Module
Enrollment Module Preprocessing Analysis and Analysis Data Segmentation User SystemInterface Database Face Verification / Identification Module Preprocessing Face Recognition and Analysis and Segmentation Scoring Accept / Reject
STA (Surface Texture Analysis) It uses visual details of the skin, as captured in the standard digital or scanned images. This technique does not scan the entire face but a patch of skin on it. This patch is divided into blocks. The skin texture, the pores on the skin and other such characteristics are converted to a code, which is used for comparison.
Merits It is convenient and socially acceptable. All you need is your picture taken for it to work. It is one of the most inexpensive biometric available in the market. It is very Fast. Face matching template algorithm compares 1,00,000 faces per second.
Demerits Face Recognition has been working well with frontal faces and 20 degree off but as you move towards the profile there have been problems. Does not work well because of poor lighting, sunglasses, long hair, or other objects partially covering the subject’s face. Many systems are less effective if facial expressions vary. Even a big smile can make the system less effective.
Applications Government Use Security/counterterrorism Immigration Voter verification Commercial Use Day care Residential security Banking using ATM