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A star image fusion method based on coordinate transformation is presented for a multi-FOV star sensor. By using coordinate transformation, simulated star images are generated and images from different FOVs are fused in the same coordinate system. Star image fusion is combined with triangle algorithm which is widely applied, and the star recognition method is improved for multi-FOV star sensor. The...
In this paper a proposed method for gesture recognition using depth map image is presented. Three different feature extraction methods are presented too. All of them are based on Radon transform. First method reduces the feature vector of Radon transform by averaging its values. Next approach uses discrete cosine transform on radon graph, thus the energy of graph is reorganized. This approach concentrates...
This paper presents an appearance-based scheme for recognition of characters in natural images. In our method, we combine a local subspace classifier (LSC) and transformation-invariance with tangent vectors. In addition, we use negative images of original ones as new training samples for achieving high accuracy. Experimental results on Chars74K and ICDAR03-CH datasets show that the performance of...
Handwritten text recognition is an active research area for many years. Handwritten text recognition needs to perform some preprocessing steps for better recognition. Initially, we find binary image of given handwritten text document and then after performing the line segmentation task on handwritten text document, we have to normalize to the segmented lines. There are various normalization task we...
Facial recognition using spatial domain Diagonal Principal Component Analysis (DiaPCA) algorithm produces better accuracy compared to the Two Dimensional PCA (2DPCA). Transform Domain - 2DPCA (TD2DPCA) retains the high recognition accuracy of the 2DPCA while considerably reducing storage requirements and computational complexity. In this work, the Transform Domain PCA implementation of the DiaPCA...
Biometric system provides more reliable and efficient means of identity verification. Gait recognition is the process of identifying a person by the way they walk. It is one kind of biometric technology that can be used to monitor people without their co-operation and has been receiving wide attention in the computer vision community. In this paper, we propose a new approach for extracting human gait...
Scene recognition poses great challenges due to large intra-class variations. We present a novel visual descriptor to build scene gist.It is an extended version of census transform histogram.The proposed gist model is more robust and has better generalizability.It is a holistic scene-centered representation that bypasses the segmentation and the processing of individual objects or regions.We experimentally...
This paper presents a simplified image recognition algorithm. This algorithm, with a combination of region-based matching and feature-based matching, uses only a small amount of computation to achieve rapid identification of a target positioning. Experiments indicate that the algorithm shows smooth and fast recognition and accurate positioning on a single video track of the dynamic object recognition.
2D-Gabor transforms are considered as an effective spatial-frequency analysis technique in diverse area of image processing, especially in texture feature detection field due to it owns good localization ability in both spatial and frequency domain and also has excellent directional selectivity. In this paper, a method of feature extraction of palm print using real-Gabor transform (RGT) is proposed,...
Driver support systems using images are paid attention and various researches on recognizing and understanding the road environment have been done. If it is possible to detect and recognize traffic lights, it will give useful information to a driver to understand the road environment. In this paper, a method of detecting a traffic light in a scene image is proposed. Considering the structure of a...
A novel algorithm for human action recognition in the transform domain is presented. This approach is based on Two-Dimensional Principal Component Analysis (2DPCA) and Vector Quantization (VQ). This technique reduces the computational complexity and the storage requirement by at least a factor of 45.27, and 12 respectively, while achieving the highest recognition accuracy, compared with the most recently...
Vehicle type (make and model) recognition provides high level of security to the systems that are solely based on automatic license plate detection and recognition. Most of the work in this direction has been done in controlled conditions. In this paper we evaluate in an extensive experimental setting, the strength and weakness of various global and local feature based methods on vehicle images captured...
This paper proposes a rapid method to accomplish text images correction from slant ones. In the method, the well-known projection algorithm is presented as basic principle. In traditional projection algorithm, the huge calculation for rotation leads to a slow processing speed. This improved method mainly targets at solving computational speed problem arising from projection algorithm, and this could...
Petechia Spot ranks itself among the most significant pathological features utilized in the practice of the Tongue Diagnosis because it can reveal the existence of tiny hemorrhage in some organ inside the body. In this paper, an automated feature extraction method for recognition of Petechia Spot in tongue image is proposed employing marker-based watershed transform and morphological filter. An efficient...
This research introduces a noise-resistant and computational efficient segmentation approach towards less constrained iris recognition. The UBIRIS.v2 database which contains close-up eye images taken under visible light is used to test the proposed algorithm. The proposed segmentation approach is based on a modified and fast Hough transform augmented with a newly developed strategy to define iris...
The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normalized RGB, some regions are selected as candidates of a traffic light. Then a method based on the Hough transform is applied to detect an exact region. Experimental...
Iris recognition remains the most viable and reliable biometric method for security purposes. With the increasing demands in public safety and security, iris identification is becoming a requisite that seeks high accuracy with a fast and reliable outcome. Thus an effective iris recognition method is one that should overcome the rigid constraints imposed during image acquisition, and offer near real...
In this paper, a new technique called two- directional two-dimensional Fisher principal component analysis ((2D)2FPCA) in the two dimensional principal component analysis (2DPCA) transformed space is analyzed and its nature is revealed. We first argue that the standard 2D-PCA method works in the column direction of images and subsequently we propose an alternate 2D-FLD which works in the row direction...
Handwriting-based writer identification is a hot research filed in pattern recognition. Off-line text-independent writer identification still remains as a challenging problem because writing features can only be extracted from the handwriting images. As a result, plenty of dynamic writing information, which is very valuable for writer identification, is unavailable for off-line writer identification...
We have investigated a technique for recognising faces invariant of facial expressions. We apply multi-linear tensor algebra, which subsumes linear algebra, to analyse and recognise 3D face surfaces. This potent framework possesses a remarkable ability to deal with the shortcomings of principle component analysis in less constrained situations. A set of vector spaces can be used to represent the variation...
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