Optical Iris Scanner Institutional Camera OR Optical Iris Scanner Handheld Android Mobile
Create multi-factor authentication that binds digital identity with organic identitifcation. This allows your biometrics to operate as a one-time-pad. If a person's biometric identification is stolen it is no longer a problem because that biometric information is permanent but Whitenoise and DIVA are dynamic and ever changing. This configuration will work with any biometric. The iris scanning below is an example.
The DMX-10 and EMX-10 high quality institutional iris recognition cameras from CMITech offer excellent image capture quality for enrolments and recognition, while offering unprecedented ease of use and programming. Ideal for use with Smart Sensors' MIRLIN iris recognition toolkit, these cameras can be used to build enrolment stations, access control and time and attendance solutions as well as many other applications where secure, hands-free personnel identification is necessary. Please click here to download data sheet.
Android Iris Scanner for handheldsSoftware DIVA MIRLIN SDK is fully featured toolkit for building iris recognition engines, enrolment and ID management applications that use iris image or template databases excellent cross-platform support: Windows, Linux, Embedded, DSP. Please click here to download data sheet.
Iris Pupil Finder
MIRLIN includes functions that enable camera and systems developers to include liveness and spoof detection functions by analyzing real-time changes in pupil size and templates produced from the iris texture. Watch a video showing how MIRLIN can track real-time pupil and iris changes.
Fast MatchingMIRLIN technology enables very fast matching at rates up to 500,000 comparisons per second on standard PCs. For even faster, higher volume applications, Smart Sensors has a proprietary Fast/Fuzzy indexed matching scheme implemented in RAM disk memory offering substantial savings in hardware and energy consumption costs.
About Iris Scanning technology and Level 4 Identity Proofing and binding identity to digital keysIris biometric systems rely on detection and recognition of the textured pattern of the iris and the annular region of the eye bounded by the pupil and the sclera (white of the eye) on either side. The boundary between the iris and sclera is often called the limbic boundary. The features of the iris are formed randomly during foetal development in the womb and stabilize during the first two years of life (there is evidence to suggest this development is complete within the first few months). They are unique between left and right eyes, and also between identical twins, so are totally unconnected with genetic make-up.
Iris imaging is arguably the least intrusive of the eye related biometrics. Often mistakenly called scanning, it utilizes c ameras built around common commercial imaging sensors to grab digital photographic images of the iris, and therefore requires no direct physical contact between user and reader. In all current iris image acquisition systems, neither the illumination source nor the imaging plane is scanned across the subject. However, the CMOS or CCD sensors typically used in ALL digital still and video cameras employ internally to the chip one of two pixel information collection techniques known as progressive scan or interlaced scan. Progressive scan sensors are preferred for iris recognition, because there is no need to re-register the alternate rows of pixels after acquisition of successive halves of the image field, as happens with interlaced scan.
For optimum performance across all human subjects, the camera system must illuminate the eye with a low level of Near Infra Red (NIR) light which is needed to reveal the iris texture in eyes that exhibit significant melanin (brown) pigmentation.
Although suggested as an identification technique many years ago, the extraction of features from a digitized image of the iris was originally put forward in a 1986 concept patent by two US ophthalmologists, Leonard Flom and Aran Safir. The first techniques of feature extraction were patented by John G Daugman in 1991, and the method has been demonstrated to work with a high degree of discrimination over a wide variety of ethnic groups.
Since the expiry of the Flom and Safir patent in 2006, there has been a great increase in research and investment into iris recognition systems, Smart Sensors being one of the companies at the forefront of this. Recent hardware and software developments including image analytic processes pioneered by Smart Sensors have led to the development of iris recognition at a distance and iris on the move generating new interest in the use of iris recognition in situations that require a much lower level of co-operation from the user.
All current iris recognition systems require detection and segmentation of the iris image texture from the digital image of the eye, and then feature extraction which leads to creation of a binary template (also known as a feature vector). When an identity determination or verification attempt is made, a probe template is matched against an enrolled template (verification) or a gallery of enrolled templates (identification) usually using a Hamming Distance (HD) score technique which is based on logical exclusive OR. The lower the score, the better is the match between the templates. The characteristics of iris recognition and the HD scoring methods used result in a very high level of confidence in a particular identification result, whether Match or Non-match.
Iris patterns possess a high degree of discrimination and randomness in nature; shown to have more than 250 degrees of freedom;
No physical contact required;
Protected internal organ; does not wear and is less prone to injury;
Medical evidence shows it is highly stable over the lifetime of an individual;
Externally visible; patterns available to be imaged from a distance;
High degree of user acceptance; no criminal connotation;
Uses common inexpensive digital video sensor technology;
Much more competitive and economic business landscape.
MIRLIN technology enables very fast matching at rates up to 500,000 comparisons per second on standard PCs. For even faster, higher volume applications, Smart Sensors has a proprietary Fast/Fuzzy indexed matching scheme implemented in RAM disk memory offering substantial savings in hardware and energy consumption costs.
About Iris Scanning technology and Level 4 Identity Proofing and binding identity to digital keysIris biometric systems rely on detection and recognition of the textured pattern of the iris and the annular region of the eye bounded by the pupil and the sclera (white of the eye) on either side. The boundary between the iris and sclera is often called the limbic boundary. The features of the iris are formed randomly during foetal development in the womb and stabilize during the first two years of life (there is evidence to suggest this development is complete within the first few months). They are unique between left and right eyes, and also between identical twins, so are totally unconnected with genetic make-up.
Iris imaging is arguably the least intrusive of the eye related biometrics. Often mistakenly called scanning, it utilizes c ameras built around common commercial imaging sensors to grab digital photographic images of the iris, and therefore requires no direct physical contact between user and reader. In all current iris image acquisition systems, neither the illumination source nor the imaging plane is scanned across the subject. However, the CMOS or CCD sensors typically used in ALL digital still and video cameras employ internally to the chip one of two pixel information collection techniques known as progressive scan or interlaced scan. Progressive scan sensors are preferred for iris recognition, because there is no need to re-register the alternate rows of pixels after acquisition of successive halves of the image field, as happens with interlaced scan.
For optimum performance across all human subjects, the camera system must illuminate the eye with a low level of Near Infra Red (NIR) light which is needed to reveal the iris texture in eyes that exhibit significant melanin (brown) pigmentation.
Although suggested as an identification technique many years ago, the extraction of features from a digitized image of the iris was originally put forward in a 1986 concept patent by two US ophthalmologists, Leonard Flom and Aran Safir. The first techniques of feature extraction were patented by John G Daugman in 1991, and the method has been demonstrated to work with a high degree of discrimination over a wide variety of ethnic groups.
Since the expiry of the Flom and Safir patent in 2006, there has been a great increase in research and investment into iris recognition systems, Smart Sensors being one of the companies at the forefront of this. Recent hardware and software developments including image analytic processes pioneered by Smart Sensors have led to the development of iris recognition at a distance and iris on the move generating new interest in the use of iris recognition in situations that require a much lower level of co-operation from the user.
All current iris recognition systems require detection and segmentation of the iris image texture from the digital image of the eye, and then feature extraction which leads to creation of a binary template (also known as a feature vector). When an identity determination or verification attempt is made, a probe template is matched against an enrolled template (verification) or a gallery of enrolled templates (identification) usually using a Hamming Distance (HD) score technique which is based on logical exclusive OR. The lower the score, the better is the match between the templates. The characteristics of iris recognition and the HD scoring methods used result in a very high level of confidence in a particular identification result, whether Match or Non-match.
1. Optical scanning camera and related authentication and binding software - Cost = $3,000
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Optical Iris Scanner handheld Android Mobile software is needed more than ever because of the exponential increase in the number of mobile devices with connectivity. This solution combines a secure biometric taken with a hand-held mobile device and a digital key. It addresses international standards for Level 4 identity proofing. Use of iris biometrics is a globally preferred biometric since it is fast and there is no physical intrusion with the person being identified . There is no touching and it is acceptable even in conservative cultures where there is common use of face coverings. Use of optical scanning eliminates the need for persons to carry any kind of physical keys or remember any passwords in order to access secure networks or areas. The combination of iris scanning with Dynamic Identity Verification and Authentication ensures 100% accuracy and eliminates false positives and false negatives that make the use of biometrics problematic, particularly in mass market products that cannot bear the cost of incorporating robust cameras and therefore have a higher rate of false positives and false negatives. Complete Optical Iris Scanner Android Mobile Description.
1. Optical iris scanning camera authentication and binding software costs only $50 per device per year.
2. Optical iris scanning camera authentication and binding software developer kit costs only $1000 and comes with 10 licenses. This allows you to implement identity management into mobile, handheld, wireless devices. Additional licenses are available in volume.