Mixture model for face-color modeling and segmentation
Pattern Recognition Letters
Neural Networks in Computer Intelligence
Neural Networks in Computer Intelligence
Toward Robust Skin Identification in Video Images
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Virtual 3D Blackboard: 3D Finger Tracking Using a Single Camera
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
A novel method for detecting lips, eyes and faces in real time
Real-Time Imaging - Special issue on spectral imaging
Hand Gesture Extraction by Active Shape Models
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
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A new branch of biometrics, hand recognition, has attracted increasing amount of attention in recent years. In this paper, we propose an approach of hand detection based skin color pixel for biometric applications using multi layer perceptron (MLP) neural network. This later has the ability to classify skin pixels belonging to people with different skin tones and captured in different lighting conditions and complex background environments. To improve the achieved results, a succession of post-processing was proposed. The choice of the database is an important step in testing a biometric process. For this, we build a database named "Sfax-Miracl hand database". This database contains a total of 1080 images having the advantage of being captured from freely posed hands in contact free settings. Various conducted experiments on this database show promising results and demonstrate the effectiveness of the proposed approach.