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Automatic local Gabor features extraction for face recognition
Yousra Ben Jemaa,Sana Khanfir +1 more
TLDR
A biometric system of face detection and recognition in color images based on skin color information and fuzzy classification is presented and it is shown that Gabor coefficients are more powerful than geometric distances.Abstract:
We present in this paper a biometric system of face detection and recognition in color images. The face detection technique is based on skin color information and fuzzy classification. A new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their correspondent geometrical points. These fiducial points are described by sets of wavelet components which are used for recognition. To achieve the face recognition, we use neural networks and we study its performances for different inputs. We compare the two types of features used for recognition: geometric distances and Gabor coefficients which can be used either independently or jointly. This comparison shows that Gabor coefficients are more powerful than geometric distances. We show with experimental results how the importance recognition ratio makes our system an effective tool for automatic face detection and recognition.read more
Citations
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Hand posture and gesture recognition techniques for virtual reality applications: a survey
TL;DR: A survey on hand posture and gesture is clarified with a detailed comparative analysis of hidden Markov model approach with other classifier techniques, and difficulties and future investigation bearing are also examined.
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Static Hand Gesture Recognition Using Local Gabor Filter
TL;DR: The main objective behind using 15 Gabor filter responses is to reduce the complexity with better accuracy, in the proposed method after using local Gabor filters the features are being reduced by PCA to overcome small sample size problem.
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Building Collapse Assessment in Urban Areas Using Texture Information From Postevent SAR Data
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Proceedings ArticleDOI
Ethiopian sign language recognition using Artificial Neural Network
TL;DR: A hand gesture detection and recognition system for Ethiopian Sign Language (ESL) has been proposed and Gabor Filter together with Principal Component Analysis (PCA) and Artificial Neural Network (ANN) is used for recognizing the ESL from extracted features and to translate into Amharic voice.
References
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