Living-tissue pattern detecting method, living-tissue pattern detecting device, biometric authentication method, and biometric authentication device

Abstract

The invention discloses a living tissue mode detection method, a living tissue mode detection device, a biostatistics authentication method and a biostatistics authentication device. The invention allows reliable biometric authentication without risk of forgery or the like. The invention allows biometric authentication and biometric authentication. Detects the concave-convex distribution pattern of deep skin tissue covered by epidermal tissue to extract a unique pattern of living tissue. Biometric authentication is performed based on the detected pattern. The concavo-convex distribution pattern is optically detected by utilizing the difference in optical properties between the epidermis tissue and the deep skin tissue. In this case, long-wavelength light such as near-infrared light is used as illumination light projected onto skin tissue. A branched portion of a subcutaneous blood vessel was used as a portion to be detected. The portion to be examined is determined based on the structure of the bifurcation, in which case subcutaneous blood vessels can be used for biopsy identification.

Description

[0001] This application is an invention patent application with an application date of May 7, 2003, an application number of 03813962.6, and an invention title of "Live tissue pattern detection method, biometric pattern detection equipment, biometric authentication method, and biometric authentication equipment" divisional application. technical field [0002] The present invention relates to a new biometric pattern detection method and a biometric pattern detection device for obtaining a pattern of a deep skin layer such as the dermis, and more particularly to a biometric authentication method and a biometric authentication device. Background technique [0003] Fingerprints, palm prints, etc. are widely used for personnel authentication. These patterns are skin ridge patterns in which a part of the epidermal tissue is embedded in the concavo-convex structure of the dermis, and thus can be directly observed from the outside. That is, the above-mentioned pattern basically co...

AI Technical Summary

Problems solved by technology

However, the above-mentioned patterns cannot be directly observed and cannot be left on objects through contact with them, so authentication devices using deep-structured patterns have not been developed, although deep-structured patterns have the same biometric authentication performance as fingerprints

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