ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Improving Compressed Iris Recognition Accuracy Using JPEG2000 RoI Coding
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Low-complexity iris coding and recognition based on directionlets
IEEE Transactions on Information Forensics and Security
A new phase-correlation-based iris matching for degraded images
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on cybernetics and cognitive informatics
Robust iris recognition algorithm for non-cooperative environment
International Journal of Biometrics
Feature correlation evaluation approach for iris feature quality measure
Signal Processing
Estimating and fusing quality factors for iris biometric images
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on recent advances in biometrics
Iris recognition: the consequences of image compression
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
Car plate recognition by whole 2-D image
Expert Systems with Applications: An International Journal
Effects of JPEG XR compression settings on iris recognition systems
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Partial iris and recognition as a viable biometric scheme
International Journal of Security and Networks
Software framework for testing JPEG quantization tables for iris recognition
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
A new cow identification system based on iris analysis and recognition
International Journal of Biometrics
| Hi-index | 0.00 |
We investigate three schemes for severe compression of iris images in order to assess what their impact would be on recognition performance of the algorithms deployed today for identifying people by this biometric feature. Currently, standard iris images are 600 times larger than the IrisCode templates computed from them for database storage and search; but it is administratively desired that iris data should be stored, transmitted, and embedded in media in the form of images rather than as templates computed with proprietary algorithms. To reconcile that goal with its implications for bandwidth and storage, we present schemes that combine region-of-interest isolation with JPEG and JPEG2000 compression at severe levels, and we test them using a publicly available database of iris images. We show that it is possible to compress iris images to as little as 2000 bytes with minimal impact on recognition performance. Only some 2% to 3% of the bits in the IrisCode templates are changed by such severe image compression, and we calculate the entropy per code bit introduced by each compression scheme. Error tradeoff curve metrics document very good recognition performance despite this reduction in data size by a net factor of 150, approaching a convergence of image data size and template size.