The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated. In particular, we relate rate-distortion performance as measured in PSNR to the matching...
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ISBN:
(纸本)9783540745488
The impact of using different lossy compression algorithms on the matching accuracy of iris recognition systems is investigated. In particular, we relate rate-distortion performance as measured in PSNR to the matching scores as obtained by a concrete recognition system. JPEG2000 and SPIHT are correctly predicted by PSNR to be well suited compression algorithms to be employed in iris recognition systems. Fractal compression is identified to be least suited for the use in the investigated recognition system, although PSNR suggests JPEG to deliver worse recognition results in the case of low bitrates. PRVQ compression performs surprisingly well given the third rank in PSNR performance, resulting in the best matching scores in one scenario. Overall, applying compression algorithms is found to increase FNMR but does not impact FMR. Consequently, compression does not decrease the security of iris recognition systems, but "only" reduces user convenience.
All the articles are invited reviews or invited research papers by leading biophotonics researchers and research groups from universities, as well as industry and government laboratories, and they can be structured in...
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All the articles are invited reviews or invited research papers by leading biophotonics researchers and research groups from universities, as well as industry and government laboratories, and they can be structured in three major themes: (i) biophotonics instrumentation and experimental techniques, (ii) biophotonic sensors, and (iii) nano-biophotonics: (i) Biophotonics Instrumentation and Experimental Techniques A ratiometric fluorescence imaging system for surgical guidance by E. Moriyama et al.; 5-ALA mediated fluorescence detection of gastrointestinal tumors by E. Borisova et al.; The impact of autonomic dysreflexia on blood flow and skin response in individuals with spinal cord injury by J. C. Ramella-Roman et al.; and Optical clearing of cranial bone by E. Genina et al. (ii) Biophotonics Sensors Optical biomedical diagnostics: sensors with optical response based on two-photon excited luminescent dyes for biomolecule detection by V. Yashchuk et al. and Sensitive label-free biomolecular detection using thin silicon waveguides by Adam Densmore et al. (iii) Nano-Biophotonics Nanotomography of cell surfaces with evanescent fields by M. Wagner et al.; A proposed method for thermal specific bioimaging and therapy technique for diagnostic and treatment of malignant tumors by using magnetic nanoparticles by I. M. Gescheit et al.; Ultra-short laser pulse heating of nanoparticles:
Increasingly, software must adapt its behavior in response to changes in the supporting computing, communication infrastructure, and in the surrounding physical environment. Since most existing software was not design...
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This paper points out relevant issues of object inheritance in the context of SCORM/CORDRA research communities. We propose a mechanism, as well as an implemented prototype system, that can be used to support searchin...
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We propose feedback-limited NFSRs (nonlinear feedback shift registers) which can generate periodic sequences of period 2k - 1, where k is the length of the register. We investigate some characteristics of such periodi...
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As the Unified Modeling Language (UML) and model-driven development (MDD) become increasingly common in industry, many developers are faced with the difficult task of understanding how an existing UML model realizes s...
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Reprogramming is an essential service for wireless sensor networks. Authenticating reprogramming process is important as sensors need to verify that the code image is truly from a trusted source. There are two ways to...
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High computational power of commodity PCs combined with the emergence of low latency and high bandwidth interconnects has escalated the trends of cluster computing. Clusters with InfiniBand are being deployed, as refl...
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Popularity of ubiquitous computing increases the importance of location-aware applications, which increases the need for finding location of the user. In this paper, we present a novel localization method for indoor e...
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ISBN:
(纸本)9780387748986
Popularity of ubiquitous computing increases the importance of location-aware applications, which increases the need for finding location of the user. In this paper, we present a novel localization method for indoor environments using Wi-Fi infrastructure. While localization using Wi-Fi is cost effective, handling the obstructions which are the main cause of signal propagation error in indoor environments is a challenging task. We address this problem in two levels, resulting in increased accuracy of localization. In the first level, we localize the residing area of user node in coarse granularity. Then, we use building layout to find the objects that attenuate the signal between the reference node and the coarse estimate of the location of user node. Using multi-wall propagation model, we apply corrections for all obstructions and find the location of user node. Empirical results based on experiments conducted in lab-scale, shows meter-level accuracy.
As more and more clusters with thousands of nodes are being deployed for high performance computing (HPC), fault tolerance in cluster environments has become a critical requirement. Checkpointing and rollback recovery...
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