In this paper, a fiber optic based acoustic sensing system (FOTAS) is presented. Utilizing such cables as hundreds of acoustic movement detectors has become a novel approach for many security applications. Developed for securing critical infrastructures via utilizing both buried and fence-mounted cables, phase OTDR system FOTAS’s requirements, design, development, test and analysis modules are outlined. The detected movement type, location, magnitude are conveyed to the user via a user-friendly interface. Associated hardware, software, and utilized fiber optic network characteristics are presented. Detailed information about developed novel signal processing and artificial intelligencebased movement detection studies are provided. Real world data indicate that preliminary threat detection performance is more than 90%.
A comparative study on multiple participants was undertaken to quantify the ability of a multispectral imaging
fingerprint sensor to perform reliable biometric matching in the presence of extreme sampling conditions. These extreme
conditions included finger wetness, dirt, chalk, acetone, bright ambient light, and low contact pressure during image
acquisition. The comparative study included three commercially available total internal reflectance sensors, run in
parallel with the multispectral imaging sensor and under identical sampling conditions. Performance assessments
showed that the multispectral imaging sensor was able to provide fingerprint images that produced good biometric
performance even under conditions in which the performance of the total internal reflectance sensors was severely
degraded. Additional analysis showed that the performance advantage of the multispectral images taken under these
conditions was maintained even when matched against enrollment images collected on total internal reflectance sensors.
In spite of numerous advantages of biometrics-based personal authentication systems over traditional security systems based on token or knowledge, they are vulnerable to attacks that can decrease their security considerably. In this paper, we analyze these attacks in the realm of a fingerprint biometric system. We propose an attack system that uses a hill climbing procedure to synthesize the target minutia templates and evaluate its feasibility with extensive experimental results conducted on a large fingerprint database. Several measures that can be utilized to decrease the probability of such attacks and their ramifications are also presented.
This work extends the watermarking method proposed by Kutter et al. to increase the watermark decoding performance for textured or busy images. The proposed algorithm modifies watermark embedding rule to utilize image characteristics, like local standard deviation and gradient magnitude, in order to increase the decoding accuracy for busy images. The method does not need original image for decoding and controls the watermark embedding process at encoder site, resulting in a more accurate decoding.
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