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An approach for the detection of decorative elements - such as initials and headlines - and text regions, focused on ancient manuscripts, is presented. Due to their age, ancient manuscripts suffer from degradation and staining as well as ink is faded-out over the time. Identifying decorative elements and text regions allows indexing a manuscript and serves as input for Optical Character Recognition...
Handwriting-gesture recognition has been widely implemented in handwriting input application. Usually, gestures are used to conduct edit operations or be set as short-cut of an application. In this paper, we compare several handwriting-gesture recognition methods, and address their different user cases. These methods include pixel-matching method, rule based method and discriminant-function based...
In this paper, a two-stage scheme for the recognition of Persian handwritten isolated characters is proposed. In the first stage, similar shaped characters are categorized into groups and as a result, 8 groups are obtained from 32 Persian basic characters. In the second stage, the groups containing more than one similar shape characters are considered further for the final recognition. Feature extraction...
The disadvantages of the Fast Thinning Algorithm and Improved OPTA Thinning Algorithm, i.e. incomplete thinning, not smooth and burr were analyzed and studied. The serial algorithm based on 4-connectivity parallel thinning was presented which had the advantage of quick speed and complete thinning. The lookup tables method was introduced in order to improve the operation speed. The thinned thenar palm...
Text recognition in ancient documents poses specific challenges such as degradation and staining, fading out of ink, fluctuating text lines, superimposing of text-elements or varying layouts, amongst others. To cope with those challenges, a texture-based approach is proposed, which exploits the fact that different kinds of textures have distinct orientation distributions. The orientation information...
This paper presents a performance evaluation of two different sub-pixel motion estimation algorithms, one base on Block-Matching and the other based on optical flow to obtain sub-pixel displacement. On block-matching, we focus on block-based full search (FS), three step search (TSS), two dimensional logarithm search (TDL), cross search algorithm (CSA), a new three step search algorithm (NTSS), a novel...
The paper presents a novel multi-factorial approach for robust real-time object tracking. The target object is modeled using joint features of color (Intensity) histogram bins, texture, shape. In subsequent frames of a video, target localization is done by generating a confidence-map (a binary image) which discriminates foreground and background using K-means clustering algorithm. Random samples (sample...
Real time video streaming suffers from lost, delayed, and corrupted frames due to the transmission over error prone channels. As an effect of that, the user may notice a frozen picture in their screen. In this work, we propose a technique to eliminate the frozen video and provide a satisfactory quality to the mobile viewer by splitting the video frames into sub-frames. The multiple descriptions coding...
We initiate the study of testing properties of images that correspond to sparse 0/1-valued matrices of size n × n. Our study is related to but different from the study initiated by Raskhodnikova (Proceedings of RANDOM, 2003), where the images correspond to dense 0/1-valued matrices. Specifically, while distance between images in the model studied by Raskhodnikova is the fraction of entries on which...
Traffic Signs provide drivers with very valuable information about the road, in order to make driving safer and easier. They are designed to be easily recognized by human drivers mainly because their color and shape are very different from natural environments. Automatic traffic sign detection and recognition is important in the development of unmanned vehicles, and is expected to provide information...
The study of traffic sign recognition system has been of great interests for many years. This problem is often addressed by a three-stage procedure involving detection, tracking and classification. In this paper, a novel approach combining detection and classification of circular traffic signs is proposed. The position and scale of sign candidates within the scene are captured by detecting the center...
At present, the finger vein has attracted more attention, but the existing finger vein extraction systems are single finger systems, multi-finger case is not yet to come, and few work was did about the research of corresponding verification algorithms. This paper proposes a two modality-based bi-finger vein verification system. Both the finger vein and finger shape could be extracted from the single...
Based on the parameters histogram specification theory, the interrelationship of the parameters of histogram, the shape of histogram and the qualitative requirements in sensitive zone has been studied. The goal of qualitative requirements can be achieved by changing parameters of histogram according to some rules and the theoretical analysis which has been verified by programming experiments.
In this paper, we propose a new method for correcting the depth image, which was obtained by applying a matching scheme to stereo images and often includes parts with large error, based on the sparsity of depth image. When the depth image is obtained by a stereo matching, a small pixel correspondence error causes large estimation errors in the depth image. Also, original depth image can be considered...
This paper deals with the occupancy reasoning in a multi-camera environments. With the recent development of hardware technologies, the use of multiple cameras for vision algorithms has gained more attention because they are useful for conducting 3D reconstruction from the 2D scenes captured by camera sensors and solving occlusion in crowded environments. As cameras involved are increasing, shape...
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...
Understanding timely of the changes in land resources, rapid and accurately access to land information has become one of the important foundations that solved the conflict between man and land. This paper selects a region study in the west of Chengdu, application of "QuickBird" data, measurement and statistics and other auxiliary data, combined with Erdas Imagine, eCogntion and ArcView and...
Automated cell counting is a required task which helps examiners in evaluating blood smears. A problem is that clumped cells usually appear in images with various degree of overlapping. This study presents a new method for effectively splitting clumped cells using value in distance transform of image to quickly detect central point. Additionally, a boundary-covering degree of each point is applied...
A new shape measurement method using whole-space tabulation method and light-stepping method is proposed. A grating projector using five LED line light sources is also proposed for the light-stepping method. It will be a very fast, low-cost and accurate measurement system. The theory and experiment are introduced.
We present a shape-first approach to finding automobiles and trucks in overhead images and include results from our analysis of an image from the Overhead Imaging Research Dataset [1]. For the OIRDS, our shape-first approach traces candidate vehicle outlines by exploiting knowledge about an overhead image of a vehicle: a vehicle's outline fits into a rectangle, this rectangle is sized to allow vehicles...
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