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Smart Attendance Monitoring System Using Local Binary Pattern Histogram

2021
Attendance marking of the students in a classroom is one of the most important activity carried out by the teachers to maintain the physical presence of students as well as for records. The traditional process of taking attendance of students is time consuming, error prone, and student can proxy. To eliminate or reduce these disadvantages, a new scheme
C. Meghana, M. Himaja, M. Rajesh
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Multi-scale Local Binary Pattern histogram for gender classification

2015 8th International Congress on Image and Signal Processing (CISP), 2015
LBP (Local Binary Pattern) is a commonly used operator to extract LBPH (LBP histogram) of an image for local texture description. For gender classification, we proposed an innovative method by extracting multi-scale LBPH in DoG (Difference of Gaussian) space in this paper.
Yanan Xu, Yong Zhao, Yongjun Zhang
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Recognizing human actions using histogram of local binary patterns

Proceedings of the 2013 IEEE/SICE International Symposium on System Integration, 2013
Human action recognition from video clips has become an active research field in recent years. Each action has its unique shape and a motion sequence can be suitably represented by a histogram. In this paper a histogram based action recognition method is presented. Motion history images are a good spatiotemporal template for action representation.
Sk. Md. Masudul Ahsan   +3 more
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Local Binary Pattern Histogram Based Web Facial Authentication System

Data Analytics and Artificial Intelligence, 2023
The objective of the project is to Detect and Recognize Human Facial Features via a Camera. The basic concept of this project is:- To convert the input image to HSV format to extract the binary image and additionally remove the noise from binary image using morphological operations and finally then contours are used to segment out the region of ...
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New face recognition method based on local binary pattern histogram

2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014
Face recognition is one of the most important tasks in computer vision and biometrics where many algorithms have been developed. The Local Binary Pattern (LBP) has been proved to be effective for facial image representation and analysis, but it is too local to be robust.
C. Taouche   +4 more
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Local Binary Pattern histogram based Texton learning for texture classification

2011 18th IEEE International Conference on Image Processing, 2011
Local Binary Pattern (LBP) and Texton are both widely used texture analysis techniques. In this paper we propose a patch-based texture classification method that takes advantage of both LBP and Texton. Unlike the traditional LBP methods that describe a texture with the occurrence of local binary patterns in the entire image, we compute the LBP ...
Yonggang He, Nong Sang, Rui Huang
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Data-driven techniques for smoothing histograms of local binary patterns

Pattern Recognition, 2016
Local binary pattern histograms have proved very successful texture descriptors. Despite this success, the description procedure bears some drawbacks that are still lacking solutions in the literature. One of the problems arises when the number of extractable local patterns reduces while their dimension increases rendering the output histogram ...
Ylioinas, J   +3 more
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Eye states detection by boosting Local Binary Pattern Histogram features

2008 15th IEEE International Conference on Image Processing, 2008
In this paper, we propose a novel method for eye states detection. The detection of eye states is treated as an appearance based binary classification problem. The whole eye region is first scanned by a series of blocks with various locations and scales. The Local Binary Pattern Histogram (LBPH) is then extracted from each block to form a descriptor of
null Cui Xu, Ying Zheng, Zengfu Wang
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Illuminated facial preprocessing with Wavelet Local Binary Patterns Histogram Specification

2009 7th International Conference on Information, Communications and Signal Processing (ICICS), 2009
Contemporary 2D face recognition is still a challenging work, especially when lighting varies. Thus, many works of resolving illumination variation in face recognition have been proposed, in the past decades. In this paper, we proposed Wavelet Local Binary Patterns Histogram Specification as a preprocessing technique for illuminated face recognition ...
Goh, Yi Zheng   +2 more
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