Titlebook: Recent Trends in Image Processing and Pattern Recognition; 4th International Co KC Santosh,Ravindra Hegadi,Umapada Pal Conference proceedin

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Stacked Dark COVID-Net: A Multi-class Multi-label Classification Approach for Diagnosing COVID-19 Ushis paper presents a novel lightweight multi-class multi-label COVID-19 detection model to assist physicians with greater ease to fight against this pandemic situation. Radiographic images are pre-processed using Contrast Limited Adaptive Histogram Equalization (CLAHE) and classified using novel Sta

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Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablatioed images contain clinically significant morphological features. A gynecologic oncologist with more than 20?years of experience validated the augmented images. These are mixed into the set of original images to train our customized CNN. We note a performance improvement of 3.3% (to 89.8%) in treatab

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Real-Time Face Recognition for Organisational Attendance Systems To test the efficacy of our system, we have built a database of over 800 unique individuals of Indian descent. Our tests showed a superior true-positivity rate on our tweaked model demonstrating its efficacy in comparison with the reference literature. We also share some of the methods employed to

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An Alignment-Free Fingerprint Template Protection Technique Based on Minutiae Tripletsse issues, an alignment-free template protection technique has been proposed in this work, which not only solves the problem of revocability but also provides a secure irreversible transformation without having to compromise the performance of the authentication system. Experimental analysis has bee

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