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Diabetes Mellitus (DM) is becoming one of the fastest growing and most common non-infectious diseases in the world today. This has set a huge measure of burden on governments and medical service authorities. As of now, researchers have identified that DM can be recognized in a non-invasive approach through the analysis of human facial blocks. In this paper, a novel way has been proposed to detect...
Diabetic Retinopathy (DR) and its variants are the leading cause of vision loss among people with diabetics and working-age adults. Proliferative Diabetic Retinopathy (PDR) is the advanced stage of DR, which involves the formation of new vessels in the retinal surface. In this paper an algorithm is proposed for the patch wise extraction of texture and vesselness features. The vessel map for the feature...
Smile detection in the wild is an interesting and challenging problem. This paper presents an efficient approach with hierarchical visual feature to handle this problem. In our approach, Gabor filters with multi-scale, multi-orientation are first applied to extract facial textures namely Gabor faces from the input face image. After this, Histograms of Oriented Gradients (HOG) are employed to encode...
Iris based person identification has become very largely used biometric technology. This paper proposes a technique of feature extraction of iris images, which uses 2-D Gabor filter with four orientations. XOR and SUM operations on the real and imaginary output for each orientation result into a number which is further encoded into bits to give the feature vector. Experiments show that XOR-SUM Code...
With the development of stone processing and sales, effective stone surface texture image recognition methods are needed. We proposed a new stone surface texture image recognition method based on texture and colour. We combine the following visual features: Gabor features which can well simulate the single cell sensing profile of mammalian visual neurons, The Grey-level Co-occurrence Matrices(GLCM)...
As the automation in biometric authentication is increasing there is demand for the high security for protecting private information and access control with increased speed and accuracy. One of the very important solutions for the security issues is the human behavioral and physiological features in biometrics. However, the existing biometric systems are not suitable in very high security and are...
Facial expressions are the most visual method to convey emotions. Facial expressions of a person at different instances are not same. Automatic recognition of facial expressions is important for natural human-machine interfaces. Although human recognize facial expressions without delay, however expression reorganization by computer is still a challenge. In this proposed method Log Gabor filter bank...
HERS is a real time system for emotion recognition through the analysis of facial expression and speech features. The system simultaneously detects emotion from live video audio streams. The system splits the video stream into sequence of images, then automatically detects the face of a person from the frames and extracts his/her emotion. The system also splits the audio stream into frames, extract...
The global increase in population has simultaneously raised the awareness to maintain good health in most of the people. The poor quality of food taken and environmental pollution leads to occurrence of lung cancer in most of the people. It is highly important to detect the lung cancer in earlier stages with minimum time delay and provide a better solution to reduce the lung cancer. Early detection...
Biometric traits such as an iris texture is one of the dependable physiological biometric traits because of its uniqueness. In this paper, we explore a different approach of matching score fusion and the effect of normalization method to the fusion process. Despite a plenty of work of iris recognition methods have been proposed in recent years, many are paying attention to the feature extraction process...
Recently, personal identification, which is based on the palmprint texture features analysis, has widely attracted the attention of several researchers and has gained a great popularity in the pattern recognition field. In this paper, we present a novel methodology based on texture information extracted from palmprint. Firstly, we propose an algorithm to robustly locate the Region Of Interest (ROI)...
Saliency computational model with active environment perception can substantially facilitate a wide range of applications. Conventional saliency computational models primarily rely on hand-crafted low level image features, such as color or contrast. However, they may face great challenges in low lighting scenario, due to the lack of well-defined feature to represent saliency information in low contrast...
In order to maximally make use of the limited capacities of storage and transmission, it's necessary for onboard computer to adaptively compress the cloud regions with lower quality compared with the regions without cloud cover. Therefore, the information processing unit needs to recognize the cloud regions before compress the image. To meet this requirement of satellite imaging payload, a novel approach...
The parcel-based changed detection by adopting the holistic feature can extract the changed parcels in land-use maps[1]. This method of parcel-based change detection uses the holistic feature, which represents each land use parcels clipped by polygons in the land use map with the energy spectrum of WFT and extracts the changed parcels according to the distance threshold between feature vectors associated...
The inventory of economic forest planting on mountainous area is of great interest for the shareholders, ecologists, and governors. This study presents a novel object-based remote sensing image texture extraction method to aid the classification of mountain economic forest. Whereas the texture pattern of man-planted forest on mountainous area are similar with human fingerprint on remote sensing images,...
Facial expressions are considered to be an effective and non-verbal means of expressing the emotional states of humans in more natural and non-intrusive way. Automatically recognizing the emotions consequently contributes towards the advances in the areas such as human computer interaction, clinical psychology and data-driven animations. Deriving a relevant and reduced set of features is a vital step...
In this paper we present a new descriptor based on phase congruency concept and LUV color space features. Since the phase of the signal conveys more information regarding signal structure than the magnitude and the indispensable quality of the color in describing the world around us, the proposed descriptor can precisely identify and localize image features over the gradient based techniques, especially...
Fingerprint-based authentication systems have developed rapidly in the recent years. However, current fingerprint-based biometric systems are vulnerable to spoofing attacks. Moreover, single feature-based static approach does not perform equally over different fingerprint sensors and spoofing materials. In this paper, we propose a static software approach. We propose to combine low-level gradient...
Even digital content is widely used nowadays, printed documents are still ubiquitously accepted and circulated. Therefore, identifying the printed character source is essential for criminal investigations to authenticate the digital copies of the printed documents. This study carefully examines the important statistical features from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform...
Multimodal biometrics system increase robustness by removing a dependency on one single biometric traits. In recent years, Multimodal biometrics has received large attention in research. Multimodal Biometrics are more secure than unimodal biometric as even if one biometric trait fail other is present. In this paper, we used a combination of face and iris biometric traits. We used Viola Jones algorithms...
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