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Iris Recognition is found to be one of the most reliable and efficient technique for biometrics identification. In this paper iris recognition using blood vessel segmentation is proposed. After blood vessel segmentation, the segmented iris image is recognized using global texture features. The GLCM, Gabor and Local Binary Patterns are used for feature extraction. The for training of the extracted...
Significant feature extraction for texture retrieval can be perfectly achieved using multiscale image decompositions, such as contourlet and Gabor representations. In this paper we compare the efficiency of contourlet decomposition variants and Gabor transform in terms of texture search and retrieval rates. Two distinct approaches, namely energy computation and generalized Gaussian distribution modeling...
In recent years, Doppler radar has been used as a sensing modality for human gait recognition, due to its ability to operate in adverse weather and penetrate opaque obstacles. Doppler radar captures not only the speed of the target, but also the micro-motions of its moving parts. These micro-motions induce frequency modulations that can be used to characterise the target movements. However, a major...
Palm print is one of the important hand related biometrics characteristics with high user acceptance. A new classification approach using heart line feature of palm print is proposed in this paper. The hand image captured from digital camera is preprocessed to find palm print Region of interest (ROI). Gabor filters are applied on palm print ROI and line detection operation is proposed to extract heart...
Nowadays, the biometric palm vein is leading trait for person recognition. The biometric is formed on the basis of physiological and behavioral characteristic of human being. The blood vascular structure of each and every individual is unique and distinct. The blood vessel carries oxygenated or deoxygenated blood and found under the skin. The near infrared light illumination visualizes a palm vein...
Images texture extraction is a core step in image pattern recognition applications such as paper texture identification or fingerprinting. Different methods are applied for paper images texture extraction. Subsequently, one of the well-known methods in images texture extraction is the Locale Binary Pattern (LBP) method. However, the LBP method show a number of drawbacks in paper images texture extraction...
This paper presents a novel facial expression recognition approach in the presence of partial occlusion using Gabor filters and gray-level co-occurrence matrix (GLCM). At first, we design an algorithm to extract the block Gabor feature statistics according to the spatial distribution of the face organ. Then, GLCM is firstly introduced into expression recognition field to make up for the deficiency...
Iris Recognition is increasingly being used as the main method for biometric authentication since it is highly reliable and accurate. It considers the unique patterns of the iris to identify personnel by applying pattern recognition techniques. As the usage of iris recognition system increases, the number of iris code to be stored and retrieved for matching in large database of irises increases proportionally...
Leaf vein extraction is a key feature for plant recognition. An efficient leaf vein extraction method is proposed in this paper by Bi-dimensional Empirical Mode Decomposition with Gray-scale Morphology Processing (BEMD-GMP). The raw image transforms gray image firstly, the Intrinsic Mode Functions (IMF) component of the gray image is decomposed by Bi-dimensional Empirical Mode Decomposition (BEMD)...
Content Based Image Retrieval (CBIR) is the task of retrieving the images from the huge set of database on the basis of their own visual content. Content based image recovery is utilized for the programmed indexing and recovery of images depending on the contents of images called as the elements. This paper gives indicated way to utilize these primitive elements to recover the desired image. The procedure...
Feature extraction plays an important role in signal processing, computer vision, etc., and filter bank is used to comprehensively delineate the characteristics of input signals from different perspectives. Nonetheless, more detailed extraction of information necessitates the application of more filters with resulting increase in computational load in proportion to the number of filters. To alleviate...
Text in camera captured images contains important and useful information. Text in images can be used for identification, indexing and retrieval. Detection and localization of text from camera captured images is still a challenging task due to high variability of text appearance. In this paper we propose an efficient algorithm, for detecting and localizing text in natural scene images. The method is...
Palm vein characteristic has been adopted as the new trend in biometrics systems. This is advancement over the existing traits such as finger, face, iris and all other traits. The blood vessel structure of every individual is found to be unique and distinct. The paper discuss about the methodologies adopted for the extraction of the features in the form of edges of the blood vein structure. The Gabor...
This paper makes a comparative assessment of the observable landcover classes visible in the data provided by the newly launched SENTINEL-1 (S-1) satellite. The analysis focuses on two feature extraction methods previously reported in the literature to be able to distinguish between a relatively large number of classes in high and very high resolution SAR data. The analysis of the S-1 medium resolution...
Fingerprint scanners usually suffer from spoofing attack of fake fingerprints. To address this issue, a pore based liveness detection method has been proposed in this paper. The method first extracts the sweat pores from the grayscale fingerprint image. This is achieved by processing the fingerprint image using the Gaussian filters, whose parameters are adaptively adjusted according to the local ridge...
The present paper addresses a single image super resolution reconstruction approach based on sparse representation of image patches. The proposed reconstruction process enforces a better sparsity solution which is guided by the sparse prior from the L1 norm optimization process. In the optimization process, an efficient feature extraction operator is used to ensure accurate prediction of the high...
In most of the access control systems employed in any organizations, one or more level authentication steps are used to protect their assets. These authentication systems in general involve one or more level knowledge based or possession based authentication steps or sometimes the combination of both, in order to have a high security. However, with the advance of technology these methods are more...
In this work, a method is proposed for classification of texture images using a fusion of feature sets. Weighted guided filter based preprocessing technique has been performed using optimized cost function to enhance the discriminative property of different texture images. A hybrid model of normalized symmetrical gray level co-occurrence matrix parameters, histogram of oriented gradients, and Gabor...
Face Recognition system finds many applications in surveillance and human computer interaction systems. As the applications using face recognition systems are of much importance and demand more accuracy, more robustness in the face recognition system is expected with less computation time. In this paper, a Hybrid approach for face recognition combining Gabor Wavelet and Linear Discriminant Analysis...
In biometric recognition, features extraction is extremely important part. Features extraction is used for the selection process of the most influential features in biometric recognition system. Similarly, the introduction of biometric palm vein image based on where the extraction is done to the veins. In this paper, the writer proposes palm vein features extraction method for biometric recognition...
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