Titlebook: Segmentation and Separation of Overlapped Latent Fingerprints; Algorithms, Techniqu Branka Stojanović,Oge Marques,Aleksandar Nešković Book

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Machine Learning Based Separation of Overlapped Latent Fingerprints,oducing an initial estimation of the orientation fields present in the overlapped fingerprint image, it uses a neural network to separate the mixed orientation fields, which are then post-processed to correct remaining errors and enhanced using the global orientation field enhancement model. The pro

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Book 2019wo fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlapped latent f

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2191-5768 hich are two fundamental steps in the context of fingerprint matching systems. It addresses five main aspects: (1) the need for overlapped latent fingerprint segmentation and separation in the context of fingerprint verification systems; (2) the different datasets available for research on overlappe

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at presents to the children the right exercises, based on the learners’ replies. BM was tested in four different countries (Germany, Spain, Italy and Greece) in the kindergartens and the primary schools, the target groups were in the range 3–7 years old. The tool was tested in a larger scale evaluat

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Branka Stojanović,Oge Marques,Aleksandar Neškovićnd living in a post-stroke life. Based on the findings from the literature review, we report that there are many factors that can influence the stroke patients’ level of motivation such as social functioning, patient-therapist relationship, goal-setting, and music. These findings are insightful and

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