A Comparison of Moments-Based Logo Recognition Methods
Logo recognition is an important issue in document image, advertisement, and intelligent transportation. Although there are many approaches to study logos in these fields, logo recognition is an essential subprocess. Among the methods of logo recognition, the descriptor is very vital. The results o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/854516 |
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| _version_ | 1849309101798981632 |
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| author | Zili Zhang Xuan Wang Waqas Anwar Zoe L. Jiang |
| author_facet | Zili Zhang Xuan Wang Waqas Anwar Zoe L. Jiang |
| author_sort | Zili Zhang |
| collection | DOAJ |
| description | Logo recognition is an important issue in document image, advertisement, and intelligent transportation.
Although there are many approaches to study logos in these fields, logo recognition is an essential subprocess. Among the methods of logo recognition, the descriptor is very vital. The results of moments as powerful descriptors were not discussed before in terms of logo recognition. So it is unclear which moments are more appropriate to recognize which kind of logos. In this paper we find out the relations between logos with different transforms and moments, which moments are fit for logos with different transforms. The open datasets are employed from the University of Maryland. The comparisons based on moments are carried out from the aspects of logos with noise, and rotation, scaling, rotation and scaling. |
| format | Article |
| id | doaj-art-0cab36c3ee3345f3bae28554b8387814 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-0cab36c3ee3345f3bae28554b83878142025-08-20T03:54:15ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/854516854516A Comparison of Moments-Based Logo Recognition MethodsZili Zhang0Xuan Wang1Waqas Anwar2Zoe L. Jiang3Computer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaComputer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaComputer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaComputer Application Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen 518055, ChinaLogo recognition is an important issue in document image, advertisement, and intelligent transportation. Although there are many approaches to study logos in these fields, logo recognition is an essential subprocess. Among the methods of logo recognition, the descriptor is very vital. The results of moments as powerful descriptors were not discussed before in terms of logo recognition. So it is unclear which moments are more appropriate to recognize which kind of logos. In this paper we find out the relations between logos with different transforms and moments, which moments are fit for logos with different transforms. The open datasets are employed from the University of Maryland. The comparisons based on moments are carried out from the aspects of logos with noise, and rotation, scaling, rotation and scaling.http://dx.doi.org/10.1155/2014/854516 |
| spellingShingle | Zili Zhang Xuan Wang Waqas Anwar Zoe L. Jiang A Comparison of Moments-Based Logo Recognition Methods Abstract and Applied Analysis |
| title | A Comparison of Moments-Based Logo Recognition Methods |
| title_full | A Comparison of Moments-Based Logo Recognition Methods |
| title_fullStr | A Comparison of Moments-Based Logo Recognition Methods |
| title_full_unstemmed | A Comparison of Moments-Based Logo Recognition Methods |
| title_short | A Comparison of Moments-Based Logo Recognition Methods |
| title_sort | comparison of moments based logo recognition methods |
| url | http://dx.doi.org/10.1155/2014/854516 |
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