Secure Iris Recognition Based on Local Intensity Variations

In this paper we propose a fast and efficient iris recognition algorithm which makes use of local intensity variations in iris textures. The presented system provides fully revocable biometric templates suppressing any loss of recognition performance

Parallel Image Compression on a Workstationcluster using PVM

. Parallel image compression on a workstation-cluster is discussed. We introduce a parallel meta-algorithm for image compression which is well suited for every block based image compression scheme. This algorithm is explained in more detail in the case of fractal image compression. We present experimental results of a host/node implementation on a FDDI interconnected workstationcluster using PVM. 1 Introduction One of the ironies to come out of image compression research is that as the data rates come down the computational complexity of the algorithms increases. This leads to the problem of long execution times to compress an image or image sequence. This shows the "need for speed" in image and video compression [9]. Unfortunately many compression techniques demand execution times that are not possible using a single serial microprocessor. The use of general purpose high performance computers for such tasks is therefore suggested (beside the use of DSP chips or application specific V..

Semi-Fragile Watermarking in Biometric Systems: Template Self-Embedding ⋆

Abstract. Embedding biometric templates as image-dependent watermark information in semi-fragile watermark embedding is proposed. Experiments in an iris recognition environment show that the embedded templates can be used to verify sample data integrity and may serve additionally to increase robustness in the biometric recognition process.

Two-Factor Biometric Recognition with Integrated Tamper-protection Watermarking ⋆

Abstract. Two-factor authentication with biometrics and smart-cards enabled by semi-fragile watermarking is proposed. Several advantages of the scheme as compared to earlier approaches are discussed and experiments for an iris-based recognition system demonstrate that semi-fragile integrity verification can be provided by the system. This is achieved without impact on recognition performance, since the slight degradation in terms of ROC behavior which is observed on the watermarked sample data is more than compensated by the additionally available template that is transferred from the smart-card to the matching site via watermarking technology.

Effects of JPEG XR compression settings on iris recognition systems

Abstract. JPEG XR is considered as a lossy sample data compression scheme in the context of iris recognition techniques. It is shown that apart from low-bitrate scenarios, JPEG XR is competitive to the current standard JPEG2000 while exhibiting significantly lower computational demands.