Iris cameras perform recognition detection of a person's identity by mathematical analysis of the random patterns that are visible within the iris of an eye from some distance. It combines computer vision, pattern recognition, statistical inference and optics.
Of all the biometric devices and scanners available today, it is generally conceded that iris recognition is the most accurate. The automated method of iris recognition is relatively young, existing in patent since only 1994.
Iris cameras, in general, take a digital photo of the iris pattern and recreating an encrypted digital template of that pattern. That encrypted template cannot be re-engineered or reproduced in any sort of visual image. Iris recognition therefore affords the highest level defence against identity theft, the most rapidly growing crime.
The imaging process involves no lasers or bright lights and authentication is essentially non-contact. Today's commercial iris cameras use infrared light to illuminate the iris without causing harm or discomfort to the subject.
The iris is the coloured ring around the pupil of every human being and like a snowflake, no two are alike. Each are unique in their own way, exhibiting a distinctive pattern that forms randomly in utero. The iris is a muscle that regulates the size of the pupil, controlling the amount of light that enters the eye.
Iris recognition is rarely impeded by glasses or contact lenses and can be scanned from 10cm to a few meters away. The iris remains stable over time as long as there are no injuries and a single enrolment scan can last a lifetime.
Some medical and surgical procedures can affect the overall shape and colour of an iris but the fine texture remains stable over many decades. Even blind people can use this scan technology since iris recognition technology is iris pattern-dependent not sight dependent.
Iris scanning is an ideal way of biometric identification since the iris is an internal organ that is largely protected by damage and wear by the cornea. This makes it more attractive then fingerprints which can be difficult to recognize after several years of certain types of manual labour.
A fingerprint scanner is an electronic device used to capture a digital image of the fingerprint pattern. This scan is digitally processed to create a biometric template which is stored and used for matching.
Face detection is used in biometrics, often as a part of (or together with) a facial recognition system. It is also used in video surveillance, human computer interface and image database management. A face camera is a webcam with 2 Mpx or above which can take a clear crisp photograph of the face. Some recent digital cameras use face detection for autofocus. Also, face detection is useful for selecting regions of interest in photo slideshows that use a pan-and-scale Ken Burns effect. That is, the content of a given part of an image is transformed into features, after which a classifier trained on example faces decides whether that particular region of the image is a face, or not.
A face model can contain the appearance, shape, and motion of faces. There are several shapes of faces. Some common ones are oval, rectangle, round, square, heart, and triangle. Motions include, but not limited to, blinking, raised eyebrows, flared nostrils, wrinkled forehead, and opened mouth. The face models will not be able to represent any person making any expression, but the technique does result in an acceptable degree of accuracy. The models are passed over the image to find faces, however this technique works better with face tracking. Once the face is detected, the model is laid over the face and the system is able to track face movements.
Standardization Testing and Quality Certification (STQC) Directorate is an attached office of the Department of Information Technology(DIT), Government of India, provides quality assurance services in the area of Electronics and IT through countrywide network of laboratories and centres.
The biometric devices provisionally certified by STQC for use in Aadhaar project, this certification scheme provides confidence that certified devices are reliable, safe, secure and meet the requirements, To know more about Master List of Documents related to Biometric Device Certification Click here
Following are the list of biometric devices provisionally certified by STQC for use in Aadhaar project:
Disclaimer : The devices shown above do not indicate a preference of UIDAI for any particular type of device, but are strictly meant as an illustration only.The stakeholders should refer to the List of Biometric Devices provisionally certified by STQC