The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A algorithm of fingerprint image segmentation is the essence of the whole fingerprint system, and this paper proposes an improved one which based on adaptive dynamic threshold segmentation algorithm. It ameliorates Otsu algorithm according to the unevenness of grey scale. This algorithm distinguishes the target from the background in the image with the combination of threshold segmentation and region...
In order to enhance the contrast between ridges and valleys of contactless fingerprint, a touchless fingerprint image enhancement algorithm based on Hessian matrix and short time Fourier transform (STFT) analysis is proposed. First, initial enhancement is done through building lower
Image matching is one of the active areas of research in today's world. There exist many ways in which two images can be matched. When the size of the image is very large, it incurs more computational time and cost. In this paper, an efficient algorithm to match large images is proposed. This algorithm works by generating key features using SIFT algorithm. This SIFT features are then clustered using...
Latent fingerprints play a very important role in forensic applications to recognize the criminals. The latent fingerprints still face many issues due to the large amount of distortion. The sole purpose of this article is to improve the matching accuracy of latent fingerprints which are of bad quality. In this research work, we propose Multiphase Watershed Segmentation algorithm to refine the features...
Pre-processing part in fingerprint image recognition system is fingerprint image segmentation. Even after the years of research in the field of image segmentation, it is still a challenging task. An image segmentation algorithm is proposed, named as Adaptive (scale) and Orientation (vector) algorithm, for effective segmentation of fingerprint images. The basic idea of the proposed algorithm is originated...
Fingerprint enhancement plays a key role in the fingerprint identification system, and it directly influences the final accuracy of fingerprint identification. An improved fingerprint image enhancement method based on Gabor filter is presented and realized in this paper. In our method, after Fourier transforming transforms the fingerprint enhancement from spatial domain to frequency domain, the fingerprint...
Since the FAST (Features from Accelerated Segment Test) detector is much faster than any of the commonly used detection algorithms, and the repeatability and efficiency of FAST-9 are best in the FAST family, we proposed a novel LBP descriptor based on FAST-9 algorithm. Firstly, feature points are detected by FAST-9 and then, the texture information of the interesting point neighborhood is studied...
The contour matching is a hot issue and a difficult problem of image processing, and the accuracy and the efficient of the algorithms are the most two critical factors. To obtain the most likely matching part,a curve matching algorithm that based on the multiscale space is proposed. Firstly the line length and the angle are calculated as the feature vectors, secondly by setting different angle threshold...
The state-of-the-art algorithms of fingerprint segmentation, usually based on square block, are too dependent on the images of high quality and regular shape, so they have many deficiencies in dealing with low quality or irregular fingerprint images, such as high complexity, time-consuming and unsatisfactory segmentation results, etc. In order to adapt to different quality images, the proposed algorithm...
In this paper we analyze the neural progenitor cells in a time-lapse sequence to find position, shape, motility and ancestor of each cell in the frame. Because of the complex nature of cells, the ability to distinguish a cell from the background of an image for automatic quantification remains a challenging task. By using morphological techniques we are able to make a better selection of blob-like...
This paper presents a fast and reliable approach for detecting 3D line segment from 3D point clouds. The main idea is to discover weak matching of line segments by re-projecting 3D point to 2D image plane and infer 3D line segment by spatial constraints. On the basis of 2D Line Segment Detector (LSD) and multi-view stereo, the proposed algorithm firstly re-projects the spatial point clouds into planar...
The segmentation of fingerprint image is to extract the fingerprint region from the image. The traditional methods usually divide the fingerprint image into small blocks and then segment them into the foreground blocks and the background ones ignoring the relationship of the neighbors. In this paper, a novel segmentation approach is proposed based on the region merging with full benefit of the local...
A novel approach is introduced to detect object from scrambled background. Firstly, Point-pair Set is constructed by filtrating points with similar curvature; then similar Segment-pair Set is established through searching similar segment skeleton in Point-pair Set; finally, optimal transformation is selected from the Segment-pair Set using scoring function to determine the optimal matching. Experiments...
This paper makes a study on content-based image retrieval algorithm for document image database. Given a query image the system returns overall similar images in database. For document images, we propose the algorithm based on hierarchical matching tree. First segment an image into several regions with paragraph marking based on paragraph height estimation, and then segment the region into line blocks,...
The video quality can be degraded because of physical problems such as repeated projection, low-quality compression/decompression, or bad chemical decomposition of the original recording material. It becomes increasingly important to locate degraded video (video with defects) with the wide application of digital media. One common video defection is mosaic, where several even square combined together...
In order to decrease the mismatching problem in low texture and occluded areas, an improved algorithm based on image segmentation is proposed. Firstly, the adaptive polygon-based support window is adopted for initial disparity estimation, then the reliable matching points derived through left-right constraint are used to compute the disparity planes in the segmentation areas; finally the disparity...
This paper proposes the method of video image mosaics in real-time based on Scale Invariant Feature Transform (SIFT) algorithm. The real-time processing is great significant for the video image mosaics. SIFT is the efficient method for extracting distinctive invariant features from images. But it costs so much computation time that it can't meet the real-time processing demand. Therefore, an improved...
This paper presents a new algorithm to solve the problem of co-saliency detection, i.e., to find the common salient objects that are present in both of a pair of input images. Unlike most previous approaches, which require correspondence matching, we seek to solve the problem of co-saliency detection under a preattentive scheme. Our algorithm does not need to perform the correspondence matching between...
An algorithm of fast texture synthesis by block tiling is proposed after summarizing several related algorithms. This approach uses displacement technology based on correlation to get the mapping addresses of synthesized blocks in the sample image and integrates the method of searching feasible blocks along a spiral path. In the process, boundary matching algorithm is adopted to find the optimal matching...
Most stereo matching algorithms are pixel-based. From the perspective of human stereo vision, setting segment as a processing element is more practical. A new fast stereo matching algorithm based on segmentation with ground control points (GCPs) is presented in this paper. Firstly, an object-oriented segmentation method is used to segment the reference image, which not only considers color characteristics,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.