Segmentation Algorithm for Multiple Face Detection in Color Images with Skin Tone Regions using Color Spaces and Edge Detection Techniques

“…Face recognition can be regarded as a set of common biometric properties used by humans to recognize persons [24]. Face verification extracts a feature set from a two-dimensional face image and matches it with a template stored in a database [25].…”

Section: Literature Studies Related To Real Time Face Detectionmentioning

confidence: 99%

“…In recent years, there have been a wide variety of applications and researches related to real-time face detection [24]. Rob McCread, 2000 [16] developed an object detection system that operates on real-time video data in hardware for human faces.…”

Section: Literature Studies Related To Real Time Face Detectionmentioning

confidence: 99%

Real-Time Group Face-Detection for an Intelligent Class-Attendance System

Tamimi¹,

AL-Allaf²,

Alia³

2015

IJITCS

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Abstract-The traditional manual attendance system wastes time over students' responses, but it has worked well for small numbers of students. This research presents a real-time group face-detection system. This system will be used later for student class attendance through automatic student identification. The system architecture and its algorithm will be described in details. The algorithm for the system was based on analyzing facial properties and features in order to perform face detection for checking students' attendance in real time. The classroom's camera captures the students' photo. Then, face detection will be implemented automatically to generate a list of detected student faces. Many experiments were adopted based on real time video captured using digital cameras. The experimental results showed that our approach of face detection offers realtime processing speed with good acceptable detection ratio equal to 94.73%.

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“…The construction of the RGB-HS-CbCr skin color model is described in Section 3. Section 4 presents the use of morphological operations in our algorithm [30,33]. Section 5 represents the pseudo code of the system Experimental results and discussions are provided in Section 6.…”

Section: Introductionmentioning

confidence: 99%

Face detection using skin tone segmentation

Thakur¹,

Paul²,

Mondal³

et al. 2011

2011 World Congress on Information and Communication Technologies

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Abstract---Human face detection has become a major field of interest in current research because there is no deterministic algorithm to find face(s) in a given image. Further the algorithms that exist are very much specific to the kind of images they would take as input and detect faces. The problem is to detect faces in the given, colored group photograph. In this paper, an improved segmentation algorithm for face detection in color images with multiple faces and skin tone regions is proposed. Algorithm ingeniously uses a novel skin color model, RGB-HS-CbCr for the detection of human faces. Skin regions are extracted using a set of bounding rules based on the skin color distribution obtained from a training set. The segmented face regions are further classified using a parallel combination of simple morphological operations. Experimental results on a large photo data set have demonstrated that the proposed model is able to achieve good detection success rates for near-frontal faces of varying orientations, skin color and background environment.

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Segmentation Algorithm for Multiple Face Detection in Color Images with Skin Tone Regions using Color Spaces and Edge Detection Techniques

Cited by 29 publications

References 3 publications

Face Detection and Recognition in Color Images under Matlab

Face Detection and Recognition in Color Images under Matlab

Real-Time Group Face-Detection for an Intelligent Class-Attendance System

Face detection using skin tone segmentation

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