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2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), 2020
The attendance system is used to track and monitor whether a student attends a class. There are different types of attendance systems like Biometric-based, Radiofrequency card-based, face recognition based and old paper-based attendance system.
Bharath Tej Chinimilli +4 more
semanticscholar +1 more source
The attendance system is used to track and monitor whether a student attends a class. There are different types of attendance systems like Biometric-based, Radiofrequency card-based, face recognition based and old paper-based attendance system.
Bharath Tej Chinimilli +4 more
semanticscholar +1 more source
Discriminative local binary pattern
Machine Vision and Applications, 2016Local binary pattern (LBP) is widely used to extract image features as well as motion features in various visual recognition tasks. LBP is formulated in quite a simple form and thus enables us to extract effective features with a low computational cost.
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2012
This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP.
Jiayu Gu, Chengjun Liu
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This chapter presents a Feature Local Binary Patterns (FLBP) method that encodes both local and feature information, where the feature pixels may be broadly defined by, for example, the edge pixels, the intensity peaks or valleys in an image, or new feature information derived from the local binary patterns or LBP.
Jiayu Gu, Chengjun Liu
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IEEE Transactions on Industrial Informatics, 2020
In the era of Industrial Internet of Things (IIoT), huge amounts of data are generated, and companies are highly motivated to store the data on cloud servers for cost saving and efficient application. However, the IIoT data are always of great value. The
Zhihua Xia +5 more
semanticscholar +1 more source
In the era of Industrial Internet of Things (IIoT), huge amounts of data are generated, and companies are highly motivated to store the data on cloud servers for cost saving and efficient application. However, the IIoT data are always of great value. The
Zhihua Xia +5 more
semanticscholar +1 more source
Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns
Information Sciences, 2018Abstract Local binary patterns (LBP) have powerful discriminative capabilities. However, traditional methods with LBP histograms cannot capture spatial structures of LBP codes. To extract the spatial structures of an LBP code map, we compute and encode the Hamming distances between LBP codes of a center point and its neighbors on the LBP code map to ...
Feiniu Yuan, Xue Xia, Jinting Shi
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Multiplicative Local Binary Patterns (MuLBP)
10th International Conference on Pattern Recognition Systems (ICPRS-2019), 2019Speckle is a multiplicative noise that greatly deteriorates images. In this paper a model of Local Binary Patterns (LBP) adapted to images with speckle (MuLBP) is proposed. The multiplicative model is constructed by substituting the additive comparisons of the traditional LBP for multiplicative comparisons from the Bigeometric Calculus. The experiments
M. Mora +2 more
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Local Mesh Patterns Versus Local Binary Patterns: Biomedical Image Indexing and Retrieval
IEEE Journal of Biomedical and Health Informatics, 2014In this paper, a new image indexing and retrieval algorithm using local mesh patterns are proposed for biomedical image retrieval application. The standard local binary pattern encodes the relationship between the referenced pixel and its surrounding neighbors, whereas the proposed method encodes the relationship among the surrounding neighbors for a ...
Subrahmanyam, Murala, Q M Jonathan, Wu
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Sorted Consecutive Local Binary Pattern for Texture Classification
IEEE Transactions on Image Processing, 2015In this paper, we propose a sorted consecutive local binary pattern (scLBP) for texture classification. Conventional methods encode only patterns whose spatial transitions are not more than two, whereas scLBP encodes patterns regardless of their spatial transition.
Ryu, JB Ryu, Jongbin +2 more
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Improved Rotated Local Binary Pattern
2018Content-based image retrieval is the implementation of computer vision techniques to image retrieval problem, that is, issue of looking for images taking from high-end cameras in large image dataset. It aims to finding pictures of interest from an extensive picture database using the visual content of the pictures. “Content-based” implies that the hunt
Divya Khare +2 more
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A novel local binary pattern based blind feature image steganography
Multimedia tools and applications, 2020Steganography methods in general terms tend to embed more and more secret bits in the cover images. Most of these methods are designed to embed secret information in such a way that the change in the visual quality of the resulting stego image is not ...
Soumendu Chakraborty, A. S. Jalal
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