Restricted Nearest Feature Line with Ellipse for Face Recognition
نویسندگان
چکیده
In this paper, a novel classifier based on nearest feature line is proposed, which is called as restricted nearest feature line with ellipse (RNFLE). NFL successfully improves the classification ability. However there are still some drawbacks in NFL that limit their further application in practice. To improve the miss-classification of nearest feature line when the prototypes in NFL are far away from the query sample, RNFLE uses the ellipse to restrict the feature lines. A large number of experiments executed on ORL and AR face database confirm the usefulness of the proposed algorithm.
منابع مشابه
Supervised Feature Extraction of Face Images for Improvement of Recognition Accuracy
Dimensionality reduction methods transform or select a low dimensional feature space to efficiently represent the original high dimensional feature space of data. Feature reduction techniques are an important step in many pattern recognition problems in different fields especially in analyzing of high dimensional data. Hyperspectral images are acquired by remote sensors and human face images ar...
متن کاملFace recognition using the nearest feature line method
In this paper, we propose a novel classification method, called the nearest feature line (NFL), for face recognition. Any two feature points of the same class (person) are generalized by the feature line (FL) passing through the two points. The derived FL can capture more variations of face images than the original points and thus expands the capacity of the available database. The classificati...
متن کاملFault Detection and Classification in Double-Circuit Transmission Line in Presence of TCSC Using Hybrid Intelligent Method
In this paper, an effective method for fault detection and classification in a double-circuit transmission line compensated with TCSC is proposed. The mutual coupling of parallel transmission lines and presence of TCSC affect the frequency content of the input signal of a distance relay and hence fault detection and fault classification face some challenges. One of the most effective methods fo...
متن کاملA Novel Nearest Feature Space Classifier for Face Recognition
Nearest feature space (NFS) classifier had been proposed to enhance the limited prototypes’ representation capacity. In this paper, we provide a formal definition and a theoretical analysis to Feature Space. Furthermore, a novel NFS classifier is proposed for face recognition. Experimental results using the ORL face database indicate that the proposed NFS obtains a better recognition performanc...
متن کاملFace Recognition Based on Multiple Facial Features
An automatic face recognition system based on multiple facial features is described in this paper. Each facial feature is represented by a Gabor-based complex vector and is localized by an automatic facial feature detection scheme. Two face recognition approaches, named Two-Layer Nearest Neighbor (TLNN) and Modular Nearest Feature Line (MNFL) respectively, are proposed. Both TLNN and MNFL are b...
متن کامل