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Titlebook: Computer Vision and Image Processing; 5th International Co Satish Kumar Singh,Partha Roy,P. Nagabhushan Conference proceedings 2021 The Edi

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A Comparative Analysis on AI Techniques for Grape Leaf Disease Recognition,ated to different kind of grape leaf diseases. Furthermore, a survey regarding automated grape leaf disease identification and categorization methods are carried out, which deals with techniques like machine learning and deep learning.
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Degraded Document Image Binarization Using Active Contour Model, applied to the image to get the binary output. Comprehensive experimentation has been completed effectively with benchmark DIBCO series datasets. A comparison with other existing methods verifies the efficiency of the proposed method.
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Dynamic User Interface Composition,und truth is estimated from the above annotations using Expectation Maximization algorithm. Experiments show that users are highly satisfied with the model results. This model is deployed in Lock Screen auto layout available in latest Samsung Android phones.
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Sign Language Recognition Using Cluster and Chunk-Based Feature Extraction and Symbolic Representatge self-curated sign language sentence data set (UOM-SL2020) in order to evaluate the performance of the proposed methods. The results clearly show the high recognition rate of 75.51% in terms of F-measure which is achieved by combining the proposed method with symbolic interval-based representation and validation of feature sets.
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Feature Selection and Feature Manifold for Age Estimation,t age estimation. This paper also presents an experimental analysis of the manifold learning and feature selection schemes for age estimation. The exact age value is estimated by applying regression on the resultant feature vector. Experimental analysis on a large scale aging database MORPH-II, demonstrate the effectiveness of the proposed scheme.
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