Titlebook: Soft Computing Applications; Proceedings of the 6 Valentina Emilia Balas,Lakhmi C. Jain,Branko Kovač Conference proceedings 2016 Springer I

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Vessel Tracking and Anomaly Detection Using Level 0/1 and High-Level Information Fusion TechniquesS) as data sources with a goal of de-cluttering the operator’s workspace. The study differentiates between the use of soft computing techniques and other traditional ones and was broken down into two main sections, each describing a distinct aspect of the problem at hand. The first outlines the curr

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Establishing PNN-Based Iris Code to Identity Fuzzy Membership for Consistent Enrollmentlled identity that he is claiming is decided using a probabilistic neural network architecture that has two roles: first, it encodes from five binary iris code samples the digital identity of each enrolled person (eye), and second, it uses the enrolled digital identities to produce similarity scores

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Best Practices in Reporting Iris Recognition Resultsing different actual or simulated iris recognition systems in terms of security and comfort, and makes some considerations on choosing and comparing the processing methods engaged as subtasks of iris recognition. Along the discussion, from time to time, the article summarizes and points out to the o

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Fuzzy Correlational Direction Multidimensional Scalinglustering-based correlation [.] and its application of multidimensional scaling [.] in order to obtain a more accurate result. In this method, we proposed dissimilarity between a pair of objects weighted by the fuzzy clustering-based correlation and applied it to the ordinary multidimensional scalin

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New Method of Iris Recognition Using Dual Tree Complex Wavelet Transformacted texture information from . and . components of . converted images. We circularly scrolled the iris, extracting, at equal angles, square areas to which we applied dual-tree complex wavelet transform (DTCWT). In order to compute features, we used the average energy of all the DTCWT coefficients

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