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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...
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.
Ocular biometrics has made significant progress over the past decade primarily due to advances in iris recognition. Initial research in the field of iris recognition focused on the acquisition and processing of frontal irides which may require considerable subject cooperation. However, when the iris is off-angle with respect to the acquisition device, the sclera (the white part of the eye) is exposed...
Ant Colony Optimization (ACO) metaheuristic is a recent population-based approach inspired by the observation of real ants colony and based upon their collective foraging behavior. In This paper, the proposed technique ACO hybrid with Fuzzy segmentation. In the first step, the MRI brain image is Segmented Aco Hybrid with Fuzzy method to extract the suspicious region. In the second step deals with...
Unimodal biometric systems often face significant limitations due to sensitivity to noise intraclass variability and other factors. Multimodal biometric systems seek to alleviate some of these problems by providing multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its multiple processing stages. To overcome these limitations...
Stereo matching techniques usually match segments or blocks of pixels. This paper proposes to match segments defined as fuzzy sets of pixels. The proposed matching method is applicable to various techniques of stereo matching as well as to different measures of differences between pixels. In the paper, embedment of this approach into the state-of-the-art depth estimation software is described. Obtained...
In this paper we implement a vision based moving Object Tracking system with Wireless Surveillance Camera which uses a color image segmentation and color histogram with background subtraction for tracking any objects in non-ideal environment. The implementation of the moving video objects can be based on any one of the tracking algorithms such as Template matching, Continuously Adaptive Mean Shift...
This paper presents a novel data-hiding scheme based on side-match vector quantization (SMVQ). While encoding a block of an image, a traditional SMVQ data-hiding scheme only considers the neighboring pixels of the block to be encoded to produce a state codebook, and then uses the index of the closest codeword in the state codebook to represent the block. The major problem of the traditional image...
The particularities of stereo matching for slant planes and curve surfaces are studied and a differential geometric constraint of disparity is put forward based on image segmentation, The energy function is constructed according to the disparity constraint, which can reflect better the depth structure of visual scene; The classic belief propagation optimization algorithm based on front parallel plane...
The Color and texture information have been the primitive image descriptors in content based image retrieval systems. This work describes an image retrieval method which uses color and texture approach for feature extraction. An image is represented by a set of regions, roughly corresponding to objects, which are characterized by color and texture. For segmenting images, JSEG (J-Segmentation) 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 presented a video moving object segmentation and tracking system based on the active contour and the color classification models. First, the active contour model is applied to segment the target object in the initial frame. From the segmented object, the object and background regions are extracted. Then the object and the background regions are separately clustered according to color feature...
In this paper, we propose a novel region grouping approach to shape matching. It is proposed as an alternative region based approach to the traditional edge based shape matching using distance transforms. It has the advantage of obtaining a higher detection rate and obtaining meaningful object segmentation simultaneously. Each image is first segmented into image regions, and possible matches are found...
Shopping carts have traditionally been used as a tool provided to the customers in retail stores to carry items from the shelf to checkout stations. These days shopping carts can also be used as a security checkpoint to prevent store losses. All the items collected in a shopping cart are supposed to be unloaded at the checkout station to be scanned and included in the bill. Any items left in the cart...
The conventional wide-baseline image matching solely relies on identifying the same local features of two wide-baseline images under matching to establish pixel-to-pixel correspondence based on the nearest neighbor matching criterion. However, a large number of mismatches would be incurred especially for those images containing complicated scene. In order to effectively reduce mismatches, we propose...
An automatic recognition method for steel billet images with different orientations is proposed in this paper. A crucial part of this method is to segment the image firstly, and then use the projection features of the segmented image to distinguish the different orientations of the steel billet in production line. After the string is segmented into individual characters, the segmented characters can...
This paper proposes a Chinese coin recognition method based on unwrapped image and rotation invariant template matching. At first unwrap the reference coin and the specimen coin, which makes a rotation of the coins convert to a translation of the profile. Then lengthened the unwrapped specimen coin image and the unwrapped reference coin image always lies in the unwrapped specimen if they are the same...
In this paper we address the problem of hand-drawn symbol spotting in document images. We use stochastic graphical models (SGMs) to represent the structure and variations of hand-drawn symbols. We use a framework which first carries out segmentation and graph formation of the input image, followed by sub-graph matching for spotting of hand-drawn symbols. We used SGMs in place of sub-graphs in a semi-definite...
We propose an image stitching method which can compose the images with similar overlapped regions seamlessly. Traditional minimal error boundary (MEB) based method can't produce correct stitching result when the input images exist photometric inconsistency. To cope with the problem, we adopt the weighted sum of gradient and curvature as the robust feature, which represent the primary content of the...
We propose a new image projection method in an attempt to reduce the perceptual distortion in panoramic image mosaics. Specifically, we reduce the stretching distortion of some image patches and bending of straight lines. Since the stretching distortion usually occurs when projecting a viewing sphere to the cylindrical image surface in an oblique direction, we propose to use an adjustable cylindrical...
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