CASIA Iris Image Database (CASIA-Iris) developed by our research group has been released to the international biometrics community and updated from CASIA-IrisV1 to CASIA-IrisV3 since 2002. More than 3,000 users from 70 countries or regions have downloaded CASIA-Iris and much excellent work on iris recognition has been done based on these iris image databases. Although great progress of iris recognition has been achieved since 1990s, the rapid growth of iris recognition applications has clearly highlighted two challenges, i.e. usability and scalability.

References in zbMATH (referenced in 24 articles )

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  1. Efimov, Yu. S.; Leonov, V. Yu.; Odinokikh, G. A.; Solomatin, I. A.: Finding the iris using convolutional neural networks (2021)
  2. Protsenko, M. A.; Pavelyeva, E. A.: Image key point matching by phase congruency (2021)
  3. Zainulina, E. T.; Matveev, I. A.: Binding cryptographic keys into biometric data: optimization (2020)
  4. Gonçalves Manzan, José Ricardo; Yamanaka, Keiji; Peretta, Igor Santos; Pinto, Edmilson Rodrigues; Oliveira, Tiago Elias Carvalho; Nomura, Shigueo: A mathematical discussion concerning the performance of multilayer perceptron-type artificial neural networks through use of orthogonal bipolar vectors (2018)
  5. Solomatin, Ivan A.; Matveev, I. A.; Novik, V. P.: Locating the visible part of the iris with a texture classifier with a support set (2018)
  6. Maybank, Stephen J.: A Fisher-Rao metric for curves using the information in edges (2016)
  7. Gankin, K. A.; Gneushev, A. N.; Matveev, I. A.: Iris image segmentation based on approximate methods with subsequent refinements (2014)
  8. Chen, Wei-Kuei; Lee, Jen-Chun; Han, Wei-Yu; Shih, Chih-Kuang; Chang, Ko-Chin: Iris recognition based on bidimensional empirical mode decomposition and fractal dimension (2013) ioport
  9. Mat Raffei, Anis Farihan; Asmuni, Hishammuddin; Hassan, Rohayanti; Othman, Razib M.: Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transform (2013) ioport
  10. Matveev, I. A.: Iris center location using Hough transform with two-dimensional parameter space (2012) ioport
  11. Youmaran, R.; Adler, A.: Measuring biometric sample quality in terms of biometric feature information in iris images (2012)
  12. Matveev, I. A.: Circular shortest path as a method of detection and refinement of iris borders in eye image (2011) ioport
  13. Du, Yingzi; Belcher, Craig; Zhou, Zhi; Ives, Robert: Feature correlation evaluation approach for iris feature quality measure (2010)
  14. Kumar, Ajay; Passi, Arun: Comparison and combination of iris matchers for reliable personal authentication (2010)
  15. Rossant, Florence; Mikovicova, Beata; Adam, Mathieu; Trocan, Maria: A robust iris identification system based on wavelet packet decomposition and local comparisons of the extracted signatures (2010)
  16. Abhyankar, Aditya; Schuckers, Stephanie: Iris quality assessment and bi-orthogonal wavelet based encoding for recognition (2009)
  17. Huang, Jing; You, Xinge; Tang, Yuan Yan; Du, Liang; Yuan, Yuan: A novel iris segmentation using radial-suppression edge detection (2009)
  18. Attarchi, Sepehr; Faez, Karim; Mousavi, Mir Hashem: A new segmentation method for iris recognition using the complex inversion map and best-fitting curve (2008)
  19. Nabti, Makram; Bouridane, Ahmed: An effective and fast iris recognition system based on a combined multiscale feature extraction technique (2008)
  20. Xu, Guangzhu; Zhang, Zaifeng; Ma, Yide: A novel method for iris feature extraction based on intersecting cortical model network (2008) ioport

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