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Image Processing Using Image Recognition

Directions Aids for the Visually Challenged Using
Image Processing Using Image Recognition

Directions Aids for the Visually Challenged Using Image Processing Using Image Recognition

... The first sonar-based mobility aid was the handheld sonic torch, using a special ultrasonic sensor developed by Leslie Kay in the early 1960s. The cell-phone-sized device can be affixed to the handle of a long ...

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License Plate Recognition System using Neural Networks and Multithresholding Technique

License Plate Recognition System using Neural Networks and Multithresholding Technique

... plate recognition (LPR) systems are becoming an important safeguard measure to implement video monitoring for community security ...and processing, the key content is automated license ...plate ...

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Image recognition of English address mail image by using SVM

Image recognition of English address mail image by using SVM

... Digital image processing is a famous method in computer vision of image detection and image ...mail image. After recognition sometimes, not all features of image not ...

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Image Processing Using Artificial Networks and Neural Networks

Image Processing Using Artificial Networks and Neural Networks

... digital image processing, we cannot make a panoramic citation for lifetime achievement on this ...digital image has been considered to be an approach for a better ...for image ...

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On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection

On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection

... We present a methodology for automatic corrosion detection in digital images of carbon steel storage tanks and pipelines from a petroleum refinery. The database consists of optical digital images taken from equipments ...

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Breast Cancer Detection using Image Processing Techniques

Breast Cancer Detection using Image Processing Techniques

... As these features are selected based on Principle Component Analysis (PCA) for selecting the decision-making parameters. These parameters are selected for subsequent classification using NN. ANN consist of a great ...

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Classification of Human Organ Using Image Processing

Classification of Human Organ Using Image Processing

... on using magnetics fields and radio frequency pulses which helps in scanning the minute details of organs, tissues and all internal body ...MRI image provides more clear and differentiated images of the ...

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Intelligent Sign Language Recognition Using Image Processing

Intelligent Sign Language Recognition Using Image Processing

... color image is a combination of red, green, blue ...objects using colour or black and white and, if colour, to decide what colour space to use (red, green, blue or hue, saturation, ...Although using ...

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Design Features Recognition Using Image Processing Techniques

Design Features Recognition Using Image Processing Techniques

... MATLab using functions in the form of ...Read/capture image, Converting RGB image to Binary image, Thresholding the Image, Recognize boun- daries of objects, Finding areas of objects ...

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Iris Recognition Using Image Processing And Neural Network

Iris Recognition Using Image Processing And Neural Network

... iris image, and the second stage is used for classification of ...The recognition rate of the system depends on the meaningful data that are extracted from the iris ...Iris recognition techniques are ...

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Face recognition using image processing with raspberry pi

Face recognition using image processing with raspberry pi

... Face Recognition is concerned with finding whether or not there are any faces in a given image and, if Present, returns the image location and content of each ...and recognition system that ...

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A Review: Recognition of Automatic License Pl...

A Review: Recognition of Automatic License Pl...

... plate recognition is ...Plate Recognition using Speed up robust feature matching SURF technique for plate detection and Advanced Radial basis function for matching ...Plate Recognition ...

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A Modified Approach for Face Recognition using PSO and ABC Optimization

A Modified Approach for Face Recognition using PSO and ABC Optimization

... of image processing have given a special type of signal representation called as ‘Pyramid ...an image will be repeatedly made to go for smoothing and ...resized using a technique known as ...

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Distorted Heavily Printed Document Recognition Using Simulink - Edge Thinning

Distorted Heavily Printed Document Recognition Using Simulink - Edge Thinning

... The edge detection process typically results in an edge map which is usually a binary image. All images describe the major classification of each pixel of the images, as well as some other edge attributes such as ...

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Character recognition through image processing

Character recognition through image processing

... optically using the optical character recognition in ...an image acquisition into the MATLAB system where the image is acquired into the system by the method of using the various relay ...

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A Review on Handwritten Character Recognition

A Review on Handwritten Character Recognition

... Edges define the boundaries of an object; hence these object boundaries are useful in phases like identification and segmentation. Edge detection helps in filtering all anomalies and cutting unnecessary amount of data ...

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Iris Recognition For Security & Safety Of Automobiles

Iris Recognition For Security & Safety Of Automobiles

... iris recognition system using a novel feature extraction method called as Neighborhood-based Binary Pattern which compares each neighbor of the central pixel with the next neighbor to encode it by 1 if it ...

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Recognition of Plant Syndrome Using Image Processing Techniques

Recognition of Plant Syndrome Using Image Processing Techniques

... the image processing techniques, used to identify and classify the disease symptoms affected on different agriculture ...diseases using the disease affected leaf image by extracting the ...

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Pattern Recognition Using Image Processing

Pattern Recognition Using Image Processing

... threshold value which turns a gray-scale image into a binary image. The key method is to select the threshold value (or values when many-levels are selected). Other popular methods includes maximum entropy ...

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Convolutional neural networks for the detection of damaged fasteners in engineering structures

Convolutional neural networks for the detection of damaged fasteners in engineering structures

... A CNN is a type of deep, feed-forward artificial neural network, that has been adapted specifically for use with large three-dimensional (colour) images. Similarly to traditional neural networks, CNNs extract features, ...

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