Jernej Bule

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Over the next few years the amount of biometric data being at the disposal of various agencies and authentication service providers is expected to grow significantly. Such quantities of data require not only enormous amounts of storage but unprecedented processing power as well. To be able to face this future challenges more and more people are looking(More)
Cloud computing represents one of the fastest growing areas of technology and offers a new computing model for various applications and services. This model is particularly interesting for the area of biometric recognition, where scalability, processing power, and storage requirements are becoming a bigger and bigger issue with each new generation of(More)
The aim of our work is the implementation of biometric verification based on fingerprints in a cloud platform. Within this work we: 1) develop our own system for verification of persons based on fingerprints, 2) integrate system in a cloud platform, 3) address aspect of data security and authentication data fusion, 4) use modified e-learning system as a(More)
The performance of minutiae extraction algorithms and other algorithms in fingerprint recognition systems relies heavily on the quality of the input fingerprint images. Extracting features out of poor quality prints is an open problem. This paper presents different popular algorithms for fingerprint image enhancement and comparisons between them. We(More)
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