[PDF] Top 20 Text Extraction from Images using Convolutional Neural Network
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Text Extraction from Images using Convolutional Neural Network
... and extraction is used to get the extracted text in a document using the state-of-the-art algorithms such as Convolutional neural networks and the techniques that follow ...manually. ... See full document
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Keyword Spotting in Images Using Convolutional Neural Network
... Neural network is used to help a machine learn things how a human brain thinks and interpret ...of neural network and deep learning technique, it became easy to interpret data in the form of ... See full document
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Brain Tumour Segmentation and Classification using Convolutional Neural Network in MRI images
... In brain tumors, gliomas are the most common and aggressive, leading to a very short life expectancy in their highest grade. Thus, treatment planning is a key stage to improve the quality of life of oncological ... See full document
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Object Detection in Underwater Images using Faster Region based Convolutional Neural Network
... out using faster region based convolutional neural ...out using the color compensation ...based convolutional neural networks are then applied in order to classify in real-time ... See full document
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Microaneurysm detection in fundus images using a two-step convolutional neural network
... by using deep neural ...deep convolutional neural network (DCNN) with reinforcement sample learning strategy to classify MA and ...novel network fine-tuning scheme called ... See full document
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Spam detection in im images using convolutional neural networks
... just text messages, where we could use word count, or other such means to identify ...of images, which makes the classification task even more ...namely, convolutional neural ... See full document
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Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network
... retro-illumination images; then, our software can simultaneously localize the lens region of interest (ROI) and perform ophthalmic disease ...multiple images at a ...hour using four ... See full document
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Malware Images Classification Using Convolutional Neural Network
... deep Convolutional Neural Network for the classification task, which has the following properties: On the Rectified Linear Units (ReLU) layers, we first apply a two-dimensional convolutional ... See full document
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Survey on Image Text Detection and Recognition of Natural Scene Images
... a convolutional neural network based scene text detection algorithm along with a new text region extractor wasproposed to improve the independency and completeness of the extract ... See full document
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Recent Advancements in Machine Learning and Artificial Intelligence Techniques for Cancer Diagnosis
... the images based on the type of images acquired, noise/disturbances prevalent in those images, area of the biopsy sample captured (histologic or cytologic) and other similar ...these images ... See full document
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Text Localization and Extraction From Still Images Using Fast Bounding Box Algorithm
... Text Extraction and Localization from images is a very challenging task because of noise, blurriness and complex color background of the ...Digital Images are subjected to blurring due ... See full document
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Text-Attentional Convolutional Neural Network for Scene Text Detection
... document images into text-lines and words is an essential task for optical character ...the images and strings represent the same word which are close to each other allowing one to cast recognition ... See full document
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Image Description using Deep Neural Networks
... results using deep learning ...where images with corresponding captions are used to train the ...network. Convolutional Neural Networks (CNNs) are deployed for visual feature ... See full document
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Integrated Management System For Sugarcane Disease Using Deep Learning Techniques-A Review
... Proposal Network techniques for ...wheat images without any technical ...deep convolutional neural network (D-CNN) is applied on the pre-trained weights and biases for the ... See full document
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Text Recognition using Convolutional Neural Network: A Review
... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document
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Text Extraction and Recognition from Image using Neural Network
... performed using the back propagation ...The network was trained until the MSE error descends below 10 -3 or maximum iteration reach 70,000 ...caption text and scene text of different font, ... See full document
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Research on road extraction of remote sensing image based on convolutional neural network
... visionsuch as natural image classification, target recognition, image segmentation . Since then, VGGNet (Simonyan and Zisserman, 2014) [12], GoogLeNet (Szegedy et al., 2016) [13] and other convolution neuralnetwork ... See full document
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Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network
... MFCC extraction from audio ...MFCC extraction, the input song is transformed into an MFCC map with 13 pixels wide which is then segmented to fit the input size of ... See full document
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Estimating mass of harvested Asian seabass Lates calcarifer from images
... semantic-segmentation Convolutional Neural Net- works (CNN) [14] were highly successful in solving challenges where the seg- mentation of an image into per-pixel classes was required [11] [14] ...area ... See full document
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Phone Labeling Based on the Probabilistic Representation for Dysarthric Speech Recognition
... resulting from athetoid cerebral ...different from a physically unimpaired person, a conventional speaker-independent acoustic model for unimpaired persons is hardly useful to recognize ...feature ... See full document
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