Biometric iris image acquisition system with wavefront coding technology

Sheng Hsun Hsieh, Hsi Wen Yang, Shao Hung Huang, Yung Hui Li, Chung-Hao Tien

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Biometric signatures for identity recognition have been practiced for centuries. Basically, the personal attributes used for a biometric identification system can be classified into two areas: one is based on physiological attributes, such as DNA, facial features, retinal vasculature, fingerprint, hand geometry, iris texture and so on; the other scenario is dependent on the individual behavioral attributes, such as signature, keystroke, voice and gait style. Among these features, iris recognition is one of the most attractive approaches due to its nature of randomness, texture stability over a life time, high entropy density and non-invasive acquisition. While the performance of iris recognition on high quality image is well investigated, not too many studies addressed that how iris recognition performs subject to non-ideal image data, especially when the data is acquired in challenging conditions, such as long working distance, dynamical movement of subjects, uncontrolled illumination conditions and so on. There are three main contributions in this paper. Firstly, the optical system parameters, such as magnification and field of view, was optimally designed through the first-order optics. Secondly, the irradiance constraints was derived by optical conservation theorem. Through the relationship between the subject and the detector, we could estimate the limitation of working distance when the camera lens and CCD sensor were known. The working distance is set to 3m in our system with pupil diameter 86mm and CCD irradiance 0.3mW/cm2. Finally, We employed a hybrid scheme combining eye tracking with pan and tilt system, wavefront coding technology, filter optimization and post signal recognition to implement a robust iris recognition system in dynamic operation. The blurred image was restored to ensure recognition accuracy over 3m working distance with 400mm focal length and aperture F/6.3 optics. The simulation result as well as experiment validates the proposed code apertured imaging system, where the imaging volume was 2.57 times extended over the traditional optics, while keeping sufficient recognition accuracy.

Original languageEnglish
Title of host publicationInternational Symposium on Photoelectronic Detection and Imaging 2013
Subtitle of host publicationInfrared Imaging and Applications
PublisherSPIE
ISBN (Print)9780819497765
DOIs
StatePublished - 1 Jan 2013
Event5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013 - Beijing, China
Duration: 25 Jun 201327 Jun 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8907
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference5th International Symposium on Photoelectronic Detection and Imaging, ISPDI 2013
CountryChina
CityBeijing
Period25/06/1327/06/13

Keywords

  • extended depth of field
  • image restoration
  • unconstrained iris recognition

Fingerprint Dive into the research topics of 'Biometric iris image acquisition system with wavefront coding technology'. Together they form a unique fingerprint.

  • Cite this

    Hsieh, S. H., Yang, H. W., Huang, S. H., Li, Y. H., & Tien, C-H. (2013). Biometric iris image acquisition system with wavefront coding technology. In International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications [890730] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8907). SPIE. https://doi.org/10.1117/12.2033209