Image Recognition using machine learning
Machine learning paradigms for pattern recognition and image understanding
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In this paper some issues are considered related to the encoding of spatial information and associated perceptual learning algorithms which, it is claimed, are necessary for robust pattern and object recognition in multi-object (natural) scenes. The types of learning
Machine learning technology applied to production lines: Image recognition system
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The recent trend toward mass customization has increased the demand for multiproduct/ multivolume production and driven a need for autonomous production systems that can respond quickly to changes on production lines. Production facilities using cameras and
A machine learning model for medical image recognition using texture-based features
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This research proposes a supervised machine learning model to recognize human thyroid tissue from images using texture-based features. The proposed model includes five procedures: 1) create training samples, 2) extract region of interests (ROIs), 3) measure
Machine Learning in the area of image analysis and pattern recognition
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This project investigates the use of machine learning for image analysis and pattern recognition . Examples are shown using such a system in image content analysis and in making diagnoses and prognoses in the field of healthcare. Given a data set of images with
Position Detection with Face Recognition using Image Processing and Machine Learning Techniques
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In this paper, an improved algorithm for detecting the position of a person in controlled environments using the face detection algorithm is proposed. This algorithm ingeniously combines different face detection, occlusion detection algorithms, EMD for facial recognition
Using machine learning and image processing for character recognition : an application for teaching handwriting
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The ultimate advances in information technologies lead to new possibilities in terms of educational approaches. One of them, which are the focus of this paper, is to improve the handwriting skills of children by use of a tablet. The Android based application presented
Machine Learning algorithms for Image Classification of hand digits and face recognition dataset
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In this research endeavor, the basis of several machine learning algorithms for image classification has been documented. The implementation of five classification schemes, eg Nearest Class Centroid classifier, Nearest Subclass Centroid classifier using the number of
ROLE OF IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES IN DISEASE RECOGNITION , DIAGNOSIS AND YIELD PREDICTION OF CROPS: A
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Agriculture planning plays a significant growth and food security of an agro-based country like India. In this Review we present a comprehensive and critical survey on current challenges and methodologies applied for various image processing and Machine learning
Machine Learning for Image Recognition
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Page 1. Energy Efficient In-Memory Machine Learning for Data Intensive Image -Processing by Non- volatile Domain-Wall Memory
Image Classification using Machine Learning Algorithms for the German Traffic Sign Recognition Benchmark Problem
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The following document will analyze based on empirical results the performance of different machine learning algorithms when used to solve the benchmark problem of German Traffic Sign. Motivated by the wide-range of potential applications of image recognition and in
Data Science: exploration of machine learning , data mining and big data into image recognition pattern
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This paper creates accurate image recognition pattern that allows to treat heterogeneous, unstructured and humongous image data. Because, we have noticed that the current image recognition algorithms dont permit to achieve a relevant result and a best accuracy. This
Convolutional Neural Network Model in Machine Learning Methods and Computer Vision for Image Recognition : A Review
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Abstract Recently, Convolutional Neural Networks (CNNs) are used in variety of areas including image and pattern recognition , speech recognition , biometric embedded vision, food recognition and video analysis for surveillance, industrial robots and autonomous cars
Recognition of American Sign Language using Image Processing and Machine Learning
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In this era of touch screen devices, human machine interaction is a very important factor nowadays. Many devices are developed which can be operated without touching the system. So, in this project we are going to demonstrate how one can operate the system
HANDWRITTEN DIGITS RECOGNITION : IMAGE CORRELATION VS MACHINE LEARNING
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Abstract Optical Character Recognition (OCR) is a subfield of Image Processing which is concerned with extracting text from images or scanned documents. In this project, we have chosen to focus on recognizing handwritten digits available in the MNIST database. The
Car Make and Model Recognition using Image Processing and Machine Learning
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Advancement in automation, artificial intelligence and robotics has enabled development of intelligent transportation syustems for traffic monitoring and traffic surveillance systems. Car Make and Model recognition is an important part of such systems. Our project automatically
Plant Species Recognition based on Image Processing and Machine Learning
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Plant species recognition has received a great attention from the machine learning and machine vision communities. There are many challenges that need to be overcome in order to have a reliable plant recognition method that could be used in serious industrial
Matching technique of image extraction and machine learning based on face recognition
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In order to design a kind of new technology used for feature extraction, a matching technique of image extraction and machine learning based on face recognition is proposed. As a biometric identification technology, human face recognition involves many fields such as
Real Time Facial Emotion Recognition based on Image Processing and Machine Learning
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Behaviors, actions, poses, facial expressions and speech; these are considered as channels that convey human emotions. Extensive research has being carried out to explore the relationships between these channels and emotions. This paper proposes a prototype
Gender Recognition from Face Image Based on Textural Analysis and Machine Learning Approach
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In different biometric applications, sexual orientation acknowledgment from facial pictures assumes an imperative part. In this paper, we research Webers Local Descriptor (WLD) for sexual orientation acknowledgment. WLD is a surface descriptor that performs superior to
SINGLE-HAND GESTURE RECOGNITION USING IMAGE /VIDEO PROCESSING AND MACHINE LEARNING TECHNIQUES
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In this work, we introduce a new method for gesture recognition by combining image /video processing and machine learning methods. Inspired by previous work in the heavily studied field of gesture recognition , we focus on robust and efficient methods that achieve single