Improved iris localization by using wide and narrow field of view cameras for iris recognition

Improved iris localization by using wide and narrow field of view cameras for iris recognition

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...

Image Averaging for Improved Iris Recognition

We take advantage of the temporal continuity in an iris video to improve matching performance using signal-level fusion. From multiple frames of an iris video, we create a single average image. Our signal-level fusion method performs better than methods based on single still images, and better than previously published multi-gallery scorefusion methods. We compare our signal fusion method with ...

Extending Depth of Field for Iris Recognition

Iris recognition has become popular in recent years due to its rich textures and high accuracy. However, a major constraint in current iris recognition systems is the very shallow depth-of-field (DOF) that limits system usability and increases system complexity. In this paper, we used a spatial light modulator in place of the traditional cubic phase mask to dynamically optimize the wavefront co...

Iris Recognition Using Gabor

The iris recognition is a kind of the biometrics technologies based on the physiological characteristics of human body, compared with the feature recognition based on the fingerprint, palm-print, face and sound etc, the iris has some advantages such as uniqueness, stability, high recognition rate, and non-infringing etc. iris patterns have now been tested in many field and laboratory trials, pr...