Results 11 to 20 of about 15,252 (157)
Deep Learning in Face Recognition for Attendance System: An Exploratory Study
Journal of Computing Research and Innovation, 2022 Conventional-manual type of attendance systems can be very time-consuming to some extent, particularly for a significant number. The existence of face recognition technology can solve the inefficiency and ineffectiveness of conventional and manual ...
Mochamad Azkal Azkiya Aziz +2 more
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Compressed Image Hashing using Minimum Magnitude CSLBP [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image.
V. Patil, T. Sarode
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Local gradient pattern - A novel feature representation for facial expression recognition [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database.
Mohammad Islam
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Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2023 Ekspresi mikro merupakan representasi emosional yang terjadi secara spontan dan tidak dapat dikendalikan secara sadar serta bersifat sementara (durasi pendek) dengan gerakan halus (intensitas gerakan kecil), sehingga sulit dideteksi dengan mata manusia ...
Ulla Delfana Rosiani +3 more
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RGB-D FACE RECOGNITION USING LBP-DCT ALGORITHM [PDF]
Applied Computer Science, 2021 Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various
Sunil Kumar B L, Sharmila Kumari M
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Multi-scale Local Binary Pattern Histograms for Face Recognition [PDF]
, 2007 A novel discriminative face representation derived by the Linear Discriminant Analysis (LDA) of multi-scale local binary pattern histograms is proposed for face recognition. The face image is first partitioned into several non-overlapping regions. In each region, multi-scale local binary uniform pattern histograms1 are extracted and concatenated into a
Chi-Ho Chan +2 more
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Face Authentication Using Adapted Local Binary Pattern Histograms [PDF]
, 2006 In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework.
Yann Rodriguez, Sébastien Marcel
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Perbandingan Metode KNN Dan LBPH Pada Klasifikasi Daun Herbal
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021 Herbal plants are plants that can be used as alternatives in natural healing of diseases, parts of plants that can be used such as roots, stems, tubers and leaves, in Southeast Sulawesi there are currently 1000 herbal plants and 10 sub-ethnicities that ...
Isman, Andani Ahmad, Abdul Latief
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A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Diagnostics, 2023 Among the most serious types of cancer is skin cancer. Despite the risk of death, when caught early, the rate of survival is greater than 95%. This inspires researchers to explore methods that allow for the early detection of skin cancer that could save ...
Yildiz Aydin
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Texture feature method based on Gaussian local binary pattern
Dianzi Jishu Yingyong, 2018 The texture description of machine vision is important for image analysis and pattern recognition. To improve the robustness of feature describing, a texture feature based on Gaussian local binary pattern(LBP) is proposed in this paper.
Huang Chen, Fei Jiyou, Liu Xiaodong
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