2017
DOI: 10.22266/ijies2017.1231.12
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A Hybrid Face Image Contrast Enhancement Technique for Improved Face Recognition Accuracy

Abstract: Automatic Face recognition system struggles to recognize face images acquired at varying illumination conditions, facial expression, aging, and pose. The focus of this research work is to enhance the illumination affected face images, which subsequently results in improved face recognition accuracy. This paper presents a new contrast enhancement technique for face images. It is a hybrid contrast enhancement technique based on the combinatorial approach of Completely Overlapped Uniformly Decrementing Sub-block … Show more

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Cited by 3 publications
(4 citation statements)
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“…Calculate the π‘šπ‘–π‘› peaks of variance ← πœ‡ 1,2 Γ— 𝐢𝐷𝐹 The second scenario is to compare several extractors of texture features including LBP, LTP, COUDSHE with Fuzzy [25], IALTP+ [26], the Proposed Method (MBALTP). For LBP, we implement the steps on a previous study [18] because the original LBP study uses different dataset, therefore the result cannot be compared directly.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Calculate the π‘šπ‘–π‘› peaks of variance ← πœ‡ 1,2 Γ— 𝐢𝐷𝐹 The second scenario is to compare several extractors of texture features including LBP, LTP, COUDSHE with Fuzzy [25], IALTP+ [26], the Proposed Method (MBALTP). For LBP, we implement the steps on a previous study [18] because the original LBP study uses different dataset, therefore the result cannot be compared directly.…”
Section: Methodsmentioning
confidence: 99%
“…The third method is COUDSHE (Completely Overlapped Uniformly Decrementing Sub-block Histogram Equalization) with Fuzzy [25]. The method was proposed by S. D. Ganesan and M. A. R. Mohammed.…”
Section: Comparison With Existing Methodsmentioning
confidence: 99%
“…In this case, we used the Haar Cascade classifier method that has the ability to detect an object appropriately [13]. The detection process in the Haar Cascade was done by changing the RGB image into grayscale image and using integral calculation with some image enhancement technique, considering good image quality, can improve the detection process [14].…”
Section: Eye Region Detectionmentioning
confidence: 99%
“…However, due to the limitation of the comprehensive reasons of theory, practice, and general environment, the problem of face recognition did not attract the attention of academic circles until the middle of the 20th century. In recent years, with the rapid development of society and science technology, computer vision technology, and pattern recognition technology, facial recognition technology has gradually become a hot topic in the field of vision and recognition research [1,2]. Since the "9.11" incident in the United States, people have put forward higher requirements for information security and concealment, including how to break through the traditional facial inspection and recognition methods.…”
Section: Introductionmentioning
confidence: 99%