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As the human eye on the image of different regions of the contrast sensitivity is different, it is particularly important to segment the image region more accurately in the image quality evaluation. Based on this, this paper presents a non-reference image region division method based on deep learning. Firstly, the Canny operator performs image edge detection at low threshold to obtain the strong edge...
At present, OpenCV function library is applied more and more widely, and it is used in digital image processing to solve some problems of image processing, and it can improve the effectiveness of image processing. Commonly it is easy to cause the loss of image detail for the Otsu method, in order to solve these problems the Otsu method is improved. In the case of uneven illumination and blurred image,...
Traditional, the hardcopy of cadastral map is an important historical evidence for the land parcels information in the Land Office. However, the paper is not easy to save and the size of the scanner is not large enough for digital storage either. In this study, multi-view image processing technology is applied to create a true ortho-photo of cadastral map for solving the storage problem.
Image processing is an inevitable tool for visual tracking. Visual object tracking is a very hot area of research in the computer vision. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and in general, deal with the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the...
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
User authentication is getting inflexible in our Internet of Things (IoT) world. Current approaches for authentication, such as passwords abetted by a second factor, are being reduced moot due to human fault as well as the improved sophistication of further malware attacks. We proposed a way of Fingerprint authentication is centered on minutiae matching where bifurcation, ridge ending are calculated...
We have analyzed the problems associated with matching regions among the pair of images over the large set of overlapping regions. It is being studied that, matching images by using regions having unstructured association can be a serious problem. In this research we propose a linear formulation technique, which is matching simultaneously, so that the matched area can have color similarity histogram,...
This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Deep learning technique — Convolutional Neural Networks. Experimental results, obtained using a publicly available test database of 200 fingerprint images in two variations — with and without Gaussian noise, demonstrate that this method is competitive with Fourier coefficients and NN based method for fingerprint...
The overlapped particle tracks seriously affects the measurement accuracy of the particle track. In order to separate the overlapped particle track, a twice erosion operation was proposed by combining image matching. First, by the area and circularity of particle track as shape feature, no overlapping particle tracks were detected and classified. Then, by using these identified particle tracks as...
The paper proposes a framework for recognizing hand gesture which would serve not only as a way of communication between deaf and dumb and mute people, but also, as an instructor. Deaf and dumb individuals lack in proper communication with normal people and find it difficult to properly express themselves. Thus, they are subjected to face many issues in this regard. The sign language is very popular...
We present a novel descriptor algorithm (DUDE) using line/point duality and a randomization strategy that provides simple but robust, consistent feature extraction and correspondence. Using duality enables us to effectively capture a distribution of line segments, and the proposed randomization strategy improves repeatability over existing techniques by generating more line features in common between...
The image registration is one of the key steps to achieve three-dimensional (3D) localization and the other image fusion processes. This article presents a registration method based on the combination of edge feature and corner feature. The processing steps include image segmentation, corner detection, edge detection, extraction of interested region, and correspondence points matching. The algorithm...
Latent fingerprints are the finger skin impressions left at the criminal scene unintentionally, which are important evidence for law enforcement agencies to identify criminals. Most of latent fingerprint images are of poor quality with unclear ridge structure and various non-fingerprint patterns. Segmentation is an important processing step to separate the fingerprint foreground from the background...
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...
This paper presents an method that matches points and line segments jointly on wide-baseline stereo images. In both two images to be matched, line segments are extracted and those spatially adjacent ones are intersected to generate V-junctions. To match V-junctions from the two images, we extract for each of them an affine and scale invariant local region and describe it with SIFT. The putative V-junction...
The article considers the task of object detection on the images in industrial process control systems. The task is solved in two stages: image segmentation and matching the images of the segments with the template values. A new method based on wavelet transform salient points detection is proposed for image segmentation. Salient point descriptors are used for image matching; the new method of descriptor...
Tattoos are an important trait for criminal and victim identification and have been widely used by law enforcement agencies around the world. To facilitate it, tattoo images of prisoners, gangsters and other suspects are collected regularly. Up until now, these tattoo images are still manually annotated by law enforcement officers and text-based searching is used to retrieve tattoos of criminals and...
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...
In this paper, we propose a shape code based wordimage matching (word-spotting) technique for word retrieval in multilingual documents, written in Indian languages. Each query word image to be searched is represented by a sequence of shape codes that corresponds to primitives. Then an inexact string matching technique is applied for measuring the similarity between the codes generated from the query...
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