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The fingerprint image preprocessing is the premise and basis for fingerprint identification. It will directly influence the final outcome of fingerprint identification. In order to maintain and restore fingerprint ridge structures, and improve the noise immunity of fingerprint image preprocessing algorithm. In the paper, a method for getting direction image based on gradient is given. Using direction...
Thinning for fingerprint image is an important part of fingerprint image preprocessing. Effective thinning can reduce the time of subsequent processing and the number of false minutia. In this paper, a superior fingerprint thinning method based on HMT is proposed. Not only did we compare experimental results of this method with that of skeletal method by vision, but also we make the quantitative analysis...
Theft of a template is theft of identity Fingerprint identification is used by forensic department in identifying criminals because of its uniqueness. Biometrics is the science of verifying and establishing the identity of an individual through physiological features or behavioral traits. Fingerprint identification is commonly employed in Forensic science to support criminal investigations and in...
By learning the various character image samples, the automatic and synchronistic generation of new Chinese calligraphy styles is a key problem in the computer artistic simulating. A curve analogy method based on FSVM is proposed which can generate new calligraphy styles with the user's constraining styles'parameters. Firstly, the input character image samples are transferred into a hierarchical stroke...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
In order to detect atomization angle and uniformity of aircraft engine nozzle, a new method of computer vision is proposed in this paper. Fuzzy C-means clustering and Hough transform are introduced in spray angle and center offset test. Template self-adaptive image matching algorithms is proposed to detect uniformity. The errors of atomization angle and center offset are less than 0.5 degree. In uniformity...
Recently, Template matching approach has been widely used to locate faces with various pose, illumination and clutter background. Normalized Cross-correlation (NCC) is an effective and simple measurement method to compute the similarity matching between the stored faces templates and the rectangular blocks of the input image to locate the face position. However, localization error occurs very often...
In order to overcome the lacking of Shift invariance in Contourlet Transform, enable the image fusion to be in accord with human vision properties, Nonsubsampled Contourlet Transform (NSCT) and Pulse Coupled Neural Networks(PCNN) were used jointly in image fusion algorithms. Original images were decomposed to get the coefficients of low frequency sub bands and high frequency sub bands. The coefficients...
Image matching is a fundamental task for computer vision. However, due to the local ambiguities induced by repetitive patterns in most of man-made objects or scenes, matching images of repetitive patterns is still a challenging problem even the viewpoint changes of them are not very large. This paper is primarily focused on the problem of matching images containing repetitive patterns and proposes...
A new LED chip testing system based on template matching graphic technology is developed. A LED chip is located precisely free of touch, with digital graphic disposal technology involving acquisition, orientation, segmentation of graphic, edge detection, outlines distill, and so on. The system proves to be feasible.
This paper proposes a 2D face recognition algorithm using phase-based correspondence matching. The phase information obtained from 2D DFT (Discrete Fourier Transform) of images contains important information of image representation. The phase-based image matching is successfully applied to sub-pixel image registration tasks for computer vision applications and image recognition tasks for biometric...
In this paper, based on SIFT feature algorithm, the SIFT feature descriptor is improved, the area of feature points used to construct a new circular region feature descriptor, thus improving the characteristics of the problem of high dimension, but also enhanced features descriptor of their own anti-rotation, and then two images by calculating the feature vector Euclidean distance, the findings were...
The objective is to develop a probabilistic approach for vision-based fire detection in videos. The proposed method analyzes the frame-to-frame changes of specific low-level features describing potential fire regions. These features are color, area size, surface coarseness, boundary roughness, and skewness within estimated fire regions. Because of flickering and random characteristics of fire, these...
This project presents MySQL database for storage of fingerprint data. The application of the database is for future process, fingerprint matching. In this project, Matlab R2009 is the software used for fingerprint image enhancement and minutia extraction. MySQL is a relational database management system (RDBMS) that runs as a server providing multi-user access to a number of databases. XAMPP Control...
This paper proposes a Two Minimum Three Step Search (2MN3SS) block matching algorithm that improves the estimation accuracy and retains the simplicity of the Three Step Search (3SS) algorithm. Motion estimation using Full Search (FS) algorithm is computationally extensive. Other previously proposed algorithms reduce the computation by limiting the number of search points at the cost of higher distortion...
When register a pair of remotely sensed images with very different spatial resolution, the diversity of their shape and tone results in lower precision and success rate. The paper proposes an algorithm of moveably resampled template match to fine register them, which resamples the high-resolution images to a sub-image by a movable mask plate, and then uses template matching method to register the...
Broadcast sports video report is expected be the generated player data in real time. Therefore, uniform number recognition need to fast computing. Covariance feature has possibilities to do it in real time. We present a method for uniform number recognition using the covariance feature as a region descriptor. The covariance feature is represented by the covariance matrix of image features such as...
In this paper, we devise a method for introducing affine invariance into the SIFT algorithm considering the addition of affine invariance property to the efficient SIFT algorithm for image matching. An intermediate step of detecting MSER in Comparison of matching performance was performed with reference to original SIFT algorithm. Other deciding factors such as execution time, number of detected interest...
One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representations with overcomplete geometric dictionaries offer a way to efficiently approximate these images, such that the multi-view geometric structure becomes explicit in the representation. However, the choice of a good dictionary...
One-Bit Transform (1BT) and Two-Bit Transform (2BT) based block motion estimation (ME) schemes have been presented in the literature to reduce the computational complexity of motion estimation by making use of low bit-depth representations of video frames and hardware suitable matching. This paper demonstrates that the full potential of 2BT based motion estimation has not been exploited so far and...
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