Scene text detection using neural network

The scene text detection formula that uses region-based convolutional neural network (RCNN), is extremely standard in recent years. It boosts the performance considerably by creating a mix of 2 key insights. the primary one is to localize and section objects by applying high-capacity convolutional n...

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Main Author: Tan, Yi Hong
Other Authors: Lu Shijian
Format: Final Year Project
Language:English
Published: 2019
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Online Access:http://hdl.handle.net/10356/76946
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-769462023-03-03T20:51:10Z Scene text detection using neural network Tan, Yi Hong Lu Shijian School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering The scene text detection formula that uses region-based convolutional neural network (RCNN), is extremely standard in recent years. It boosts the performance considerably by creating a mix of 2 key insights. the primary one is to localize and section objects by applying high-capacity convolutional neural network to bottom-up region proposals. The second is to use supervised pre-training followed by domain-specific finetuning to coaching giant convolutional neural networks once the tagged training information is lean [1]. we tend to train a replacement model supported a dataset collected by ourselves from google web site. In this project, we tend to first of all introduce some relevant ideas. we tend to describe the selective search technique used for region proposal, and also the compositions of building blocks of convolutional neural network (CNN) that embrace convolutional layer, pooling layer, corrected linear units (ReLU), fully-connected layer and loss layer. we tend to detail the method of information set preparation that consists of data assortment, information labelling and format transformation, that is taken into account as vital preparation work for coaching method.The core part of this project is that the institution of the scene text detection system from the module style to the model testing and validation. Bachelor of Engineering (Computer Science) 2019-04-25T06:33:56Z 2019-04-25T06:33:56Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/76946 en Nanyang Technological University 31 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Tan, Yi Hong
Scene text detection using neural network
description The scene text detection formula that uses region-based convolutional neural network (RCNN), is extremely standard in recent years. It boosts the performance considerably by creating a mix of 2 key insights. the primary one is to localize and section objects by applying high-capacity convolutional neural network to bottom-up region proposals. The second is to use supervised pre-training followed by domain-specific finetuning to coaching giant convolutional neural networks once the tagged training information is lean [1]. we tend to train a replacement model supported a dataset collected by ourselves from google web site. In this project, we tend to first of all introduce some relevant ideas. we tend to describe the selective search technique used for region proposal, and also the compositions of building blocks of convolutional neural network (CNN) that embrace convolutional layer, pooling layer, corrected linear units (ReLU), fully-connected layer and loss layer. we tend to detail the method of information set preparation that consists of data assortment, information labelling and format transformation, that is taken into account as vital preparation work for coaching method.The core part of this project is that the institution of the scene text detection system from the module style to the model testing and validation.
author2 Lu Shijian
author_facet Lu Shijian
Tan, Yi Hong
format Final Year Project
author Tan, Yi Hong
author_sort Tan, Yi Hong
title Scene text detection using neural network
title_short Scene text detection using neural network
title_full Scene text detection using neural network
title_fullStr Scene text detection using neural network
title_full_unstemmed Scene text detection using neural network
title_sort scene text detection using neural network
publishDate 2019
url http://hdl.handle.net/10356/76946
_version_ 1759857956336173056