Systems and methods of multi-modal biometric analysis
Exemplary embodiments are directed to a multi-modal biometric analysis system including one or more illumination sources, one or more cameras, and a processing device. The illumination sources are configured to illuminate an iris of a subject. The cameras are configured to capture one or more images of the subject during illumination of the subject with the one or more illumination sources. The images include iris biometric data associated with the iris of the subject and face biometric data associated with a face of the subject. The processing device receives as input the one or more images, analyzes the iris biometric data for iris biometric authenticity, analyzes the face biometric data for face biometric authenticity, and compares the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.
1. A multi-modal biometric analysis system, comprising:
one or more illumination sources configured to illuminate an iris of a subject;
one or more cameras configured to capture one or more images of the subject during illumination of the subject with the one or more illumination sources, the one or more images including iris biometric data associated with the iris of the subject and face biometric data associated with a face of the subject; and
a processing device in communication with the one or more illumination sources and the one or more cameras, the processing device configured to:
(i) receive as input the one or more images;
(ii) analyze the iris biometric data for iris biometric authenticity, wherein analyzing the iris biometric data includes a determination of existence of retinal retro-reflection from a pupil of the subject in the one or more images, and wherein detection of the retinal retro-reflection from the pupil of the subject is indicative of an authentic live eye of the subject;
(iii) analyze the face biometric data for face biometric authenticity; and
(iv) compare the iris biometric data and the face biometric data to determine a biometric authenticity of the subject.
2. The multi-modal biometric analysis system of claim 1 , wherein the one or more illumination sources comprise an iris illumination source and a face illumination source.
3. The multi-modal biometric analysis system of claim 2 , wherein the iris illumination source is configured to illuminate the iris of the subject with near infrared light.
4. The multi-modal biometric analysis system of claim 2 , wherein the face illumination source is configured to illuminate at least a portion of the face of the subject.
5. The multi-modal biometric analysis system of claim 2 , wherein the face illumination source is configured to illuminate the face of the subject with at least one of near infrared light and visible light.
6. The multi-modal biometric analysis system of claim 1 , wherein the iris biometric authenticity includes corneal reflections.
7. The multi-modal biometric analysis system of claim 1 , wherein the face biometric authenticity includes skin texture under near infrared light.
8. The multi-modal biometric analysis system of claim 1 , wherein the face biometric authenticity includes facial shadow identification.
9. The multi-modal biometric analysis system of claim 1 , wherein the face biometric authenticity includes eye position detection.
10. The multi-modal biometric analysis system of claim 1 , wherein the one or more illumination sources are configured to illuminate the face of the subject at varying time sequences.
11. The multi-modal biometric analysis system of claim 10 , wherein the face biometric authenticity includes detection of time-varying facial shadows.
12. The multi-modal biometric analysis system of claim 1 , wherein the one or more illumination sources include two off-axis illumination sources configured to illuminate the face of the subject from spatially separated directions.
13. The multi-modal biometric analysis system of claim 1 , comprising at least one of a fingerprint scanner, a voice detector, a gait detector, a palm scanner, and an infrared palm scanner.
14. The multi-modal biometric analysis system of claim 13 , wherein the fingerprint scanner is configured to capture one or more images of a fingerprint of the subject, the voice detector is configured to capture one or more audio signals corresponding with a voice of the subject, the gait detector is configured to capture one or more images of a gait of the subject, the palm scanner is configured to capture one or more images of a palm structure of the subject, and the infrared palm scanner is configured to capture one or more images of a palm vein structure of the subject.
15. The multi-modal biometric analysis system of claim 14 , wherein the processing device is configured to receive as input the one or more images of the fingerprint of the subject, analyze the one or more images of the fingerprint of the subject for fingerprint biometric authenticity, and compare the fingerprint biometric authenticity with at least one of the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.
16. The multi-modal biometric analysis system of claim 14 , wherein the processing device is configured to receive as input the one or more audio signals corresponding with the voice of the subject, analyze the one or more audio signals for voice biometric authenticity, and compare the voice biometric authenticity with at least one of the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.
17. The multi-modal biometric analysis system of claim 14 , wherein the processing device is configured to receive as input the one or more images of the gait of the subject, analyze the one or more images of the gait of the subject for gait biometric authenticity, and compare the gait biometric authenticity with at least one of the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.
18. The multi-modal biometric analysis system of claim 14 , wherein the processing device is configured to receive as input the one or more images of the palm structure of the subject, analyze the one or more images of the palm structure of the subject for structural palm biometric authenticity, and compare the structural palm biometric authenticity with at least one of the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.
19. The multi-modal biometric analysis system of claim 14 , wherein the processing device is configured to receive as input the one or more images of the palm vein structure of the subject, analyze the one or more images of the palm vein structure of the subject for palm vein biometric authenticity, and compare the palm vein biometric authenticity with at least one of the iris biometric data and the face biometric data to determine the biometric authenticity of the subject.