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An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge. [PDF]
Sensors (Basel), 2019 Jang I, Lee D, Choi J, Son Y.
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Broken adaptive ridge regression and its asymptotic properties. [PDF]
J Multivar Anal, 2018 Dai L, Chen K, Sun Z, Liu Z, Li G.
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Extravertebral low back pain: a scoping review. [PDF]
BMC Musculoskelet DisordKunow A +2 more
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Identification system from motion pictures: LBPH application
2017 International Conference on Computer Science and Engineering (UBMK), 2017Nowadays, identification systems are getting more and more attention due to terrorist attacks seen all over the world. Recognition of the unauthorized person has quite importance to secure critical areas. It is vital to know biometric data to recognize a person. Today face recognition systems has three steps: First, capture the face from image.
Tosun, Olcay, Haşıloğlu, Abdulsamet
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FACE RECOGNITION ATTENDANCE SYSTEM USING LBPH ALGORITHM
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH, 2023The world is getting refreshed quicker and quicker however a few things are not being refreshed; one of them is the Attendance framework. In ancient days the attendance is taken by signature on the paper. This process is a time consuming and burdensome process.
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Drowsiness Recognition Using the Least Correlated LBPH
2012 Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012In recent years, the drowsiness recognition is widely applied to the driver alerting or distance learning. The drowsiness recognition system is constructed on the basis of the recognition of eye states. The conventional methods for recognizing the eye states are often influenced by the illumination variations or hair/glasses occlusion.
Cheng-Chang Lien, Pei-Rong Lin
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LBPH based improved face recognition at low resolution
2018 International Conference on Artificial Intelligence and Big Data (ICAIBD), 2018Automatic individual face recognition is the most challenging query from the past decade in computer vision. However, the law enforcement agencies are inadequate to identify and recognize any person through the video monitoring cameras further efficiently; the blur conditions, illumination, resolution, and lighting are still the major problems in face ...
Aftab Ahmed +4 more
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Face Recognition Using LBPH and CNN
Recent Advances in Computer Science and CommunicationsObjective:: The purpose of this paper was to use Machine Learning (ML) techniques to extract facial features from images. Accurate face detection and recognition has long been a problem in computer vision. According to a recent study, Local Binary Pattern (LBP) is a superior facial descriptor for face recognition.
Ratnesh Kumar Shukla +2 more
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