• Corpus ID: 12411174

Iris Recognition Using Non Filter-based Technique

@inproceedings{Gupta2005IrisRU,
  title={Iris Recognition Using Non Filter-based Technique},
  author={Gaurav Gupta and Mayank Agarwal},
  year={2005}
}

• Gaurav Gupta, Mayank Agarwal
• Published 2005
• Computer Science

1. Introduction The human iris, an annular part between the pupil and the white sclera is emerging as a highly reliable biometric trait for personal identification. Although the area of the iris is small it has enormous pattern variability which makes it unique for every person and hence leads to high reliability. Modern cameras that are used for acquiring iris are less intrusive compared to earlier iris scanning devices and public awareness of system reliability and difficulty to circumvent is developing. An iris recognition system has following sub systems: (1) Image acquisition, (2) Image preprocessing, (3) Texture Extraction, and (4) Decision Making. The texture extraction is the most important of all of these. We propose an iris texture extraction technique using the Grey Level Co-occurrence Matrix (GLCM). The proposed approach is a non filter based iris recognition technique and is invariant to iris rotation.