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Today, multiple choice tests due to their benefits have become one of the most common methods to evaluate student's learning. In order to correct their answer sheets by the machines, very expensive equipment is necessary. Despite high correction accuracy of this method, because of some limitations, it's not suitable for public use such as schools. To overcome these limitations, attempts have been...
This paper introduces a system based on image processing to obtain efficiently and accurately reading of the electricity digital meter. In this system the back camera of the mobile phones is used to acquire the image of the electricity meter. The system then applies a sequence of image processing functions to automatically extract and recognize the digits of the meter reading image. This image goes...
Human computer interaction (HCI) is a classic topic, and hand gesture is one of the most natural languages, so the key point in human computer interaction is hand gesture recognition. A skin color model based on Hue is utilized to detect skin color regions like hands. To distinguish the face and hand, a simple and fast hand segmentation algorithm is developed. Moreover, we use the least square method...
CAPTCHAs exploit the gap in the ability between a human and a machine to understand the semantics of specific multimedia content, with vast applications in computer security. In this paper we compare two techniques in automated CAPTCHA solving for text-based CAPTCHA schemes, i.e., Classification based on the Vector Space Model (VSM) versus a popular Optical Character Recognition (OCR) engine. For...
Acquisiton of crop growth stage information can not only help to analyze the relation between the crop growth process and environmental condition, but also to guide the field operation effectively. Therefore, different growth stages of rape crops are monitored with the visual system constructed in this paper, and the first critical growth stage of rape is detected automatically, which is seeding emergence...
An automated system capable of recognizing responses for questionnaires and entering them into the database will be very useful in many subjects. Entering data manually is time consuming. Thus, the purpose of the research is to automate the manual data entry process. Through this research, a new clustering method to cluster printed and handwritten words, and character recognition method to identify...
A hierarchical oscillator network is designed and inspired by the context vision idea. The proposed network is a three-layer neuron structure, that is “perceptual layer”, “component layer” and “object layer”. The strategy is to first divide the image into tiles with overlapping parts, use parallel processing method to finish first layer basic segmentation for each tile independently, and use one neuron...
With the information from labeled RGB image an unsupervised method based on label transfer technology is proposed for 3D object recognition and segmentation in RGB-D images. We first use scale invariant features extracted from color space to retrieve a set of nearest neighbors of the input image from the labeled image database. Based on the projection matrix between the labeled image and the input...
The discerning person usually can not read Braille information without training, then many parents have difficulty educating their blind or visually impaired children. Teachers engaged in special education have to depend on Braille translator when marking Braille papers or assignments, so subjective factors are brought into the evaluation process. This paper describes a new system that recognizes...
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. In this paper we propose to design binary classifiers capable to recognize some generic natural scene images, the countryside class and the city class for instance. After the segmentation each image is represented by a set of regions. Then the propounded 1*12 vectors...
Computer assisted diagnosis has been widely used in practice with the fast development of medical imaging. As a key technique, medical image processing plays an essential role in computer assisted diagnosis. However, most pattern discovering methods focus on human structure images as CT, MRT while very little work has been done in micrograph. In this paper, we proposed a set of simple statistical...
Verification code technology is designed to distinguish humans from computers using distorted letters and/or numbers, to protect websites from automatic attacking. The current verification code technology faces the dilemma of complexity design: too simple for an attacking machine to recognize automatically, or too complex for a human user. This paper proposes a novel scheme based on image hiding....
In many situations, we have to read characters on the object we are inspecting. Typically, the character text is horizontal, in this case, we can recognize the character easily, and the recognition methods are very mature. But, sometimes the characters distribute on the circle or ellipse, and the characters are distortion, which bring us huge trouble to recognize. This paper main about how to read...
The cavity is an important indicator of quality detection for the man-made fiberboard. According to the smaller sizes, the variant shapes and the larger range of colour distribution of the cavities, this paper carries out a detailed analysis of the cavity parameters. This paper enhances the contrast of the image of the cavity, and then uses the threshold segmentation method to extract the cavity image,...
So far, feather and down category recognition is often done by man with a microscope, but this method has some disadvantages. So a feather and down category recognition system is proposed in the paper, and then feather and down category recognition can be done by computer automatically. After the image processing and segmentation using GA, the triangle node of two-value image of feather and down is...
In this paper the approach to automatic exam sheets evaluation is presented. In our task the exam is written on paper forms and scanned. The bitmaps are processed to extract the specific task area and then the task is evaluated with aid of image processing and analysis. In this work we present the algorithm for automatic evaluation of function plot. The algorithm has been verified against the set...
In current license plate recognition, there are many problems because of the complex, irregular motion and blur license plate. This paper presents a license tilt detection method, and to improve overall system performance and reliability, proposes some detection algorithms: gravity center method, Hough transform, the method of put vertexes into a line. Simply described their processes, at the same...
Sketch recognition is defined as the process of identifying symbols that users draw using single or multiple strokes. Users draw strokes using a pen and the system immediately interprets their strokes as objects that can be easily manipulated. This paper uses Particle Swarm Optimization Algorithm (PSO) to divide the strokes the user draws into meaningful geometric primitives. These geometric primitives...
Texture synthesis is used to render high quality textures on surfaces, and has been widely recognized as an important research topic in surface rendering. To overcome the low efficiency of previous methods, we present a fast algorithm to synthesize texture on surfaces. First, the surfaces are segmented into a series of mapping areas and synthesis areas using constraints of normal vector error. Then...
To the pipeline welding defect detection, robot tracking weld reliably, the welds original image acquired by visual sensor need pretreatment to eliminate the impact of noise. A pipeline welding machine vision detection system proposed in this paper. With the help of embedded computer and takes full use of the traditional ultrasonic-testing device, FPGA, USB, electronic technology and wavelet transform...
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