Iris compression for cryptographically secure person identification
| Autor: | D. Schonberg, Darko Kirovski |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Biometrics
urogenital system business.industry Computer science fungi Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cryptography urologic and male genital diseases female genital diseases and pregnancy complications Domain (software engineering) Identification (information) Component (UML) IRIS (biosensor) Computer vision cardiovascular diseases Artificial intelligence business Data compression |
| Zdroj: | Data Compression Conference |
| Popis: | This paper proposes EyeCerts, a biometric system for identification of people, which achieves off-line verification of certified, cryptographically secure documents. An EyeCert is a printed document, which certifies the association of a given text with a biometric feature-a compressed version of a human iris in this work. As a central component of the EyeCert system, an iris analysis technique that extracts and compresses the unique features of a given iris using limited storage is presented. The compressed features should be at maximal distance with respect to a reference iris image database. The iris analysis algorithm performs several steps in three main phases: (i) it detects the human iris, (ii) it converts the isolated iris using a modified Fourier-Mellin transform into a standard domain where the common radial patterns of the human iris are concisely represented, and (iii) it optimally selects, aligns, and near-optimally compresses the most distinctive transform coefficients for each individual user. Using a low quality imaging system (sub-US$100) and developed and readily available low complexity processing techniques, the overall system is shown to have probabilities of false negative and false positive on the order of 10/sup -5/. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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