Huu-Tuan Nguyen

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We present a novel feature extraction method named local patterns of gradients (LPOGs) for robust face recognition. LPOG uses block-wised elliptical local binary patterns (BELBP), a refined variant of ELBP, and local phase quantization (LPQ) operators directly on gradient images for capturing local texture patterns to build up a feature vector of a face(More)
This paper presents improvements for face recognition methods that use LBP descriptor as a main technique in encoding micro features of face images. Our improvements are focused on the feature extraction and dimension reduction steps. In feature extraction, we use a variant of Local Binary Pattern (LBP) so-called Elliptical Local Binary Pattern (ELBP),(More)
One of the most critical tasks in building a gender classification is how to describe the human face as a highly discriminative feature vector. To this end, in this paper we introduce a new handcrafted feature extraction method for unconstrained gender classification problem. From one input face image, we generate its smaller version and apply two LPQ(More)
In this work, we present a new approach for gender classification problem by combining two different types of local features extracted from face images. Given one input image, a Elliptical Local Binary Patterns (ELBP) operator and a Local Phase Quantization (LPQ) operator are applied to generate two pattern images. Then, each pattern image is divided into(More)
In this paper, we propose a novel feature extraction method for Face recognition called patch based Local Phase Quantization of Monogenic components (PLPQMC). From the input image, the directional Monogenic bandpass components are generated. Then, each pixel of a bandpass image is replaced by the mean value of its rectangular neighborhood. Next, LPQ(More)
Describing efficiently faces is a task of mounting importance. Most of existing algorithms do not address all the three criteria, i.e., robustness, distinctiveness and low computational cost. Inspired by recent features so-called POEM (Patterns of Oriented Edge Magnitudes) which is argued balancing well the three concerns, we first provide an improvement to(More)
The fluorescence in situ hybridization (FISH) is the gold standard in human epidermal growth factor receptor 2 (HER2) status assessment in breast cancer. The dissemination of the technique is impeded by the cost of reagents and long experimental time. For overcoming these limitations, we have developed a new method for implementing FISH for HER2 assessment(More)
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