1 / 12

Infrared Identification

Infrared Identification. BIOM 426: Biometrics Systems. Instructor: Natalia Schmid. Outline. Introduction Comparison IRID to other biometrics Principles of IRID Processing Approaches IRID Systems References. Introduction.

freira
Download Presentation

Infrared Identification

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Infrared Identification BIOM 426: Biometrics Systems Instructor: Natalia Schmid April 14, 2004

  2. Outline • Introduction • Comparison IRID to other biometrics • Principles of IRID • Processing Approaches • IRID Systems • References April 14, 2004

  3. Introduction • Thermography = is an imaging method using cameras sensitive in the infrared spectrum. • Surveillanceapplications: visible and infrared images, gait (passive imaging + distance) • Thermograms drawbacks: - effected by ambient temperature, - by ingestion of certain chemicals/ medications, - physiological conditions as inflammation, arterial blockages etc. • Radiometric IR camera can be used to produce EKG April 14, 2004

  4. Introduction What is used for IRID? - Anatomical information: structure of blood vessels Infrared Cameras: - passive, collecting energy; - Long (8-12 micron) band and Mid (3-5 micron) band image vessels 4 cm below the surface Two major drawbacks: 1. Camera cost; 2. No large databases. April 14, 2004

  5. Comparison to Other Biometrics Uniqueness: There is no proof that any biometric is unique. Facial Thermography is a robust biometric. - Thermal patterns are derivedfrom pattern of blood vessels transporting warm blood. - Person’s anatomy does not change (aside from growth, injury, surgical intrusion). - Identical twins have different thermograms. - Thermograms contain more information than fingerprints (minutiae). 16 minutia points has to match for fingerprints. Forgery: can detect attempted disguise. Image can be blocked but not changed. April 14, 2004

  6. April 14, 2004

  7. Comparison to Other Biometrics Example: - Temperature distribution over artificial hair is different from normal hair distribution. - Skin surface can be distorted. This does not add minutiae. - Plastic surgery can distort skin, but does not change the major vessels. (Distortions are modeled usin rubber sheet effect). - Thermogram can be distorted but it contains an evidence of this. - A single frame is used for IRID. Different emissivity materials may change thermogram. April 14, 2004

  8. April 14, 2004

  9. Comparison to Other Biometrics Uncontrolled Environment: - IRID works in complete darkness (contrary to visible imaging). Changes in Appearance: - high permanence; - weight gain or loss causes rubber sheeting distortions. Non-intrusiveness: All individuals provide useful images while may not provide good fingerprints etc. Cooperation is not necessary. Identification of Dark-Skinned Individuals: Visible light datasets do not contain data of dark-skinned individuals. April 14, 2004

  10. April 14, 2004

  11. Comparison to Other Biometrics Scaling Issue: - Underlying features: locations of specific junctions among blood vessels (0.1 inch in diameter). - Minutiae can be extracted from thermal contours (low sensitivity cameras) or from absolute location in imagery (high sensitivity cameras). - 175 minutiae can be extracted from full facial image. - The number of possible configurations exceeds human population. Throughput: Can provide the fastest throughput: non-contact; done at a distance; does not depend on lighting effects ; can recognize multiple faces simultaneously. Matching is a limiting factor (1 sec. for verification). April 14, 2004

  12. Comparison to Other Biometrics False Negatives: IRID systems are expected to falsely reject only individuals who have new gross thermal condition (sunburn) or facial surgery. False Accepts: - Depend on quality of imaging. - Prior matching, cold pixels (background, hair, eyeglasses) are converted to random noise. - Correlation matching of image or its parts. Correlation of Visual and Infrared Images: - matching methods can use visible data bases; - common features: positions of nose, eyes, hair, head shape - IR lacks color of the skin, hair, and eyes - provides detailed anatomical information - For each IR image system can eliminate all visual images that do not match (95%). April 14, 2004

More Related