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In any image, illumination is one of the challenges task and effect the performance of the system. In this paper, we have proposed new preprocessing approach to eliminate illumination effect from the human face images. In our approach we first apply Log transform on the input image to enhance illumination effect, output of this is given as input to the DoG filtering technique to smooth the image and...
Image tampering detection is important due to many incidences of tampered images misuse. In this paper, we propose a hybrid approach for image tampering detection using range filter and texture descriptor. First we highlights important details of the image using range filtering. The range filter highlights the edges, contours and important details of the objects in an image. Further we apply texture...
The current paper suggests an initial segmentation system, detection and grouping of visual information based on faces to facilitate the use, the handling and validation of the VIDTIMIT database. In order to implement this basis, two methods of pretreatment for each face are used. Then faces are detected with the Viola and Jones algorithm based on weak type descriptors Haar and grouped by new faces...
This paper presents a new statistical model for describing real textured images. Our model is based on the observation that the Scale-Invariant Feature Transform (SIFT) descriptors extracted from a given image can be properly modeled by the Gamma distribution. The maximum-likehood algorithm was used to estimate the two parameters of the Gamma distribution. The efficiency of the proposed approach was...
One of the major challenges in face recognition is that related to the differences in orientation or pose, the variations of illumination, the facial expressions, the occlusions and aging. In this paper, we propose an efficient method for face recognition in an uncontrolled environment where we fuse Gabor wavelets and Local Binary Patterns (LBP) in the feature extraction phase. Then, we apply the...
Steganalysis when performed blind is a challenging task providing no clues for the steganalyst. Stego media will influence this process if Steganalysis is performed over clean and uncompressed image formats as such formats do not show off embedding distortions easily. If steganalysis needs to identify low volume payloads, it is yet another concern to unearth and highlight the feeble and delicate artifacts...
Single face-image comparisons are extremely challenging, particularly in the context of pose, expression variations and scene illumination changes. Most of the existing schemes are sub-space learning based, where dominant eigen-directions are determined from the covariance matrix computed over the entire face space. In this paper we propose a simple hashing method based on the relative magnitudes...
In this paper we present the method we have adopted in order to leave in search of the hearer, through different acoustic measurements which have been described as being influenced by the speaker included in the database TIMIT and ked TIMIT. This study allows us to better understand where there are relevant indices to discriminate the speakers and presentation criteria to distinguish a file giving...
A ground penetration radar is a geophysical method used in landmines detection method. The ground penetration radar sends a continuous wave in a frequency range and detects reflected signals from subsurface structures, even noise commonly called clutter. This paper proposes an automated landmine detection method based on ground penetration radar data segmentation using histogram thresholding and a...
At present, many people who own cars keep increasing day by day as the standard of living increases. In the presence of car parking facilities in shopping malls, airports that are visited by people round the clock, many people do come by car. The person would be uncertain about the space available for parking before one reach the place. It would be useful if the person is able to know the status of...
Estimating eye centers is an important computer vision problem with several applications. In the past, eye center localization was constrained by the use of special hardware such as infrared cameras. Methods that estimate eye centers based on visible light have also been suggested in the literature, but these methods are inaccurate when used with low resolution images and wide ranges of lighting....
Earlobe surgeries are performed with the intention to correct the ear characteristics both locally and globally and also to beautify the appearance. Since performing the surgery (both for beautification and corrections) will alter the original ear features to the greater extent thereby poses a significant challenge for ear recognition. In this work, we introduce and explore this problem of ear recognition...
Quality of an image plays a fundamental role in taking vital decisions. In various walks of life, one such decision is personal identification. Hence, it's assessment is essential prior to using it in many biometric applications such as face recognition, iris, fingerprint analysis etc. The proposed technique classifies images into four classes based on their illumination and contrast quality. Then,...
Nowadays, personal information tends to be electronic signature or digital password. How to accurately and efficiently identify an identity has become a hot area of research. Compared with the traditional method (such as password or card), face recognition based on biometrics has more advantages. But in some cases, it may result in a decline of the image due to light, posture and other reasons in...
The paper presents two systems to recognize five facial expressions (anger, surprise, joy, sadness and neutral) and gives a performance review on them. Both systems are developed on the same facial features extraction process which is histograms of oriented gradients extraction. Vectors of facial features are classified by the systems using the following proposed methods: template matching method...
Identifying different types of damage is very essential in times of natural disasters, where first responders are flooding the internet with often annotated images and texts, and rescue teams are overwhelmed to prioritize often scarce resources. While most of the efforts in such humanitarian situations rely heavily on human labor and input, we propose in this paper a novel hybrid approach to help...
In this paper, we present a novel approachfor face recognition which consists of a dimensionalityreduction of face feature vectors. The image scaling is firstlyconducted on an input face image. Then we applied the LocalBinary Pattern (LBP) operator by dividing the face imageinto non-overlapped regions. LBP histograms are extractedfrom each region and concatenated into a single one thatrepresents the...
Nowadays, identification of persons has a great importance for information protection and access control. Thus, automatic person identification based on biometrics has become a focus of interest both for research and commercial purposes. Among the biometrics used, palmprint identification is one of the most stable and reliable technology. Some desirable properties such as uniqueness, stability, and...
In this paper, we propose an emotion-based feature fusion method using the Discriminant-Analysis of Canonical Correlations (DCC) for facial expression recognition. There have been many image features or descriptors proposed for facial expression recognition. For the different features, they may be more accurate for the recognition of different expressions. In our proposed method, four effective descriptors...
Affective computing has become a growing field of research activities due to its wide use of application in human computer interface. Emotion recognition is one of the state-of-the-art techniques in determining current psychological state of human being. Human emotions are very overlapping in nature and thus it needs an efficient feature-extractor and classifier assembly. This paper reports a novel...
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