2013 IEEE 3rd International Conference on System Engineering and Technology 2013
DOI: 10.1109/icsengt.2013.6650196
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Design of face recognition system using local binary pattern and CLAHE on Smart Meeting Room System

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Cited by 7 publications
(5 citation statements)
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“…In [2] author achieved better recognition rate by doing pre-processing before the face detection. The author utilised contrast limiting adaptive histogram equalisation which improves the detection rate on various illumination condition.…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…In [2] author achieved better recognition rate by doing pre-processing before the face detection. The author utilised contrast limiting adaptive histogram equalisation which improves the detection rate on various illumination condition.…”
Section: Related Workmentioning
confidence: 99%
“…It is a popular method for person identification due to its non-invasive characteristic and giving acceptable recognition accuracy. Face recognition is an interesting and challenging problem, and impacts important applications in many areas such as identification for law enforcement, authentication for banking and security system access, and personal identification among others [1].Face recognition, on the other hand, still faces many issue on its recognition accuracy due to environmental condition, especially ambient illumination [2].…”
Section: Introductionmentioning
confidence: 99%
“…Identifying faces by seeing them in our lifetime enables us to identify known faces immediately even after years of divergence [1] [2]. Face detection is an instance of advanced aim detection [3]. The process is affected by several factors such as shape, indexes of refraction, position, obstruction and enlightenment.…”
Section: Introductionmentioning
confidence: 99%
“…In order to overcome this, registration-based methods have been proposed. Pan et al [15] presented an experimental comparison for the face profile recognition problem. The authors compared different profile alignment methods, such as tangent based normalization, 2D iterative closest point alignment (ICP) and simulated annealing (SA) alignment.…”
Section: Profile Based Side -View Face Recognition Reviewmentioning
confidence: 99%
“…There are also some databases that are collected in more uncontrolled settings. MMI database [15] is a web-based movements convey the emotional state of an individual expression database including 1500 samples of 19 people. In addition to the video, in some databases 3D captures, or sound files are also provided.…”
Section: Database Used In Literature Reviewmentioning
confidence: 99%