Iris Recognition
نویسنده
چکیده
Biometrics is a major class of approaches for user authentication. This project uses iris recognition as a demonstrating example to explore techniques for building secure biometrics systems. After segmenting and identifying the region of the iris, unique and robust features of each person's iris are extracted and used to match with iris patterns in a database. In order to provide privacy protection and deter unauthorized use of sensitive biometric data, iris features should be properly encrypted by jointly employing cryptography, signal processing, and coding. This project examines two encryption techniques suitable for secure and robust biometric matching, and compares their performance.
منابع مشابه
A Fast Localization and Feature Extraction Method Based on Wavelet Transform in Iris Recognition
With an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. In general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. This rese...
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Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...
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Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
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Iris recognition is one of the most reliable methods for identification. In general, itconsists of image acquisition, iris segmentation, feature extraction and matching. Among them, iris segmentation has an important role on the performance of any iris recognition system. Eyes nonlinear movement, occlusion, and specular reflection are main challenges for any iris segmentation method. In thi...
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