Logo recognition system

© 2015 IEEE. The objective of this research is to develop computer software for recognizing a company logo. The system is called "Logo Recognition System or LRS". There are 2 parts of the LRS, namely: A client part and server part. The client part consists of common device, which is owned...

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Main Authors: Chomtip Pornpanomchai, Passakorn Boonsripornchai, Pimchanok Puttong, Chonnipa Rattananirundorn
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/43536
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Institution: Mahidol University
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spelling th-mahidol.435362019-03-14T15:04:36Z Logo recognition system Chomtip Pornpanomchai Passakorn Boonsripornchai Pimchanok Puttong Chonnipa Rattananirundorn Mahidol University Computer Science Decision Sciences © 2015 IEEE. The objective of this research is to develop computer software for recognizing a company logo. The system is called "Logo Recognition System or LRS". There are 2 parts of the LRS, namely: A client part and server part. The client part consists of common device, which is owned by the user, such as a mobile device, tablet and smart phone. On the client part, the LRS provides an easy graphic user interface for capturing a logo image. After that the device sends the logo image to the server part. The server part is a computer server, which does a process of recognizing with several algorithms and generates a result with a link of the logo's company website. The LRS consists of 4 components, namely: 1) Image Acquisition 2) Image Preprocessing 3) Image Recognition, and 4) Result Presentation. The system uses the python program to develop the logo recognition system on both client and server. The LRS can recognize the rotation image with any angle. The precision rate of the system is around 79.6 percent. 2018-12-11T02:39:58Z 2019-03-14T08:04:36Z 2018-12-11T02:39:58Z 2019-03-14T08:04:36Z 2016-02-08 Conference Paper ICSEC 2015 - 19th International Computer Science and Engineering Conference: Hybrid Cloud Computing: A New Approach for Big Data Era. (2016) 10.1109/ICSEC.2015.7401394 2-s2.0-84964391065 https://repository.li.mahidol.ac.th/handle/123456789/43536 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84964391065&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Decision Sciences
spellingShingle Computer Science
Decision Sciences
Chomtip Pornpanomchai
Passakorn Boonsripornchai
Pimchanok Puttong
Chonnipa Rattananirundorn
Logo recognition system
description © 2015 IEEE. The objective of this research is to develop computer software for recognizing a company logo. The system is called "Logo Recognition System or LRS". There are 2 parts of the LRS, namely: A client part and server part. The client part consists of common device, which is owned by the user, such as a mobile device, tablet and smart phone. On the client part, the LRS provides an easy graphic user interface for capturing a logo image. After that the device sends the logo image to the server part. The server part is a computer server, which does a process of recognizing with several algorithms and generates a result with a link of the logo's company website. The LRS consists of 4 components, namely: 1) Image Acquisition 2) Image Preprocessing 3) Image Recognition, and 4) Result Presentation. The system uses the python program to develop the logo recognition system on both client and server. The LRS can recognize the rotation image with any angle. The precision rate of the system is around 79.6 percent.
author2 Mahidol University
author_facet Mahidol University
Chomtip Pornpanomchai
Passakorn Boonsripornchai
Pimchanok Puttong
Chonnipa Rattananirundorn
format Conference or Workshop Item
author Chomtip Pornpanomchai
Passakorn Boonsripornchai
Pimchanok Puttong
Chonnipa Rattananirundorn
author_sort Chomtip Pornpanomchai
title Logo recognition system
title_short Logo recognition system
title_full Logo recognition system
title_fullStr Logo recognition system
title_full_unstemmed Logo recognition system
title_sort logo recognition system
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/43536
_version_ 1763488793414860800