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The data collected from millions of public cameras needs to be retrieved, stored, and analyzed. A system is required which needs to allocate significant amounts of resources to analyze large-scale visual data. Cloud computing provides shared storage, computation, and various services to handle such a tremendous amount of data collected from distributed cameras. In order to reduce the overall cost...
Cloud service adoption has increased in recent years. With the adoption of cloud service, many of the companies are using these cloud to store and process Big Data. Security measures provided by the service providers might not be enough to secure the data in the cloud. In this paper, we discuss the practical solution on which we are working at the moment to protect the data in a cloud environment...
Cloud computing has been evolving over a couple of years with the increased use of cloud-based services like Amazon Web Services (AWS), Dropbox, Office 365, and so on. It revolves around the several technologies, for developing and supporting these services. With the evolution of new technologies, it leads to widespread use of cloud-based applications in real time. Processing powers are increased...
Biometric recognition involves in identifying the individual based on behavioural and biological characteristics. Among the various biometric modalities, the dorsal hand vein recognition has been known for high accuracy, stability and resistance to spoofing. The crucial fact, in achieving an accurate biometric recognition strongly correlates with the quality of the dorsal hand vein image that can...
Finger vein indexing refers to the process of creating clusters of finger vein samples based on the extracted features from the image. In large scale finger vein identification, the input probe image needs to be compared with a large set of gallery images to match the identity. Clusters can be used to confine the process of identity match of the images present in the gallery to the probe sample of...
Finger vein recognition has emerged as the robust biometric modality because of their unique vein pattern that can be captured using near infrared spectrum. The large scale finger vein based biometric solutions demand the need of searching the probe finger vein sample against the large collection of gallery samples. In order to improve the reliability in searching for the suitable identity in the...
Highly unique pattern of the vein within the finger makes it robust biométrie characteristic which is instrumental in achieving low error rates for verification. Vascular pattern is reliable in many terms as they are characterized by very low error rates, good spoofing resistance and user convenience when compared with other existing biométrie modalities. In this paper, we present an extensive study...
The vascular pattern of the finger has emerged as a promising new biometric modality, characterized by very low error rates, good spoofing resistance and user convenience when compared with other existing biometric modalities. In this paper, we present a new sensor design that is not only cost effective but also robust enough to capture the finger vascular (or finger vein) pattern. We evaluate the...
Multimodal biometric systems based on fingerprint and finger vein modality provide promising features useful for robust and reliable identity verification. In this paper, we present a robust imaging device that can capture both fingerprint and finger vein simultaneously. The presented low-cost sensor employs a single camera followed by both near infrared and visible light sources organized along with...
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