Paper
15 November 2007 Line-based logo recognition through a web-camera
Xiaolu Chen, Yangsheng Wang, Xuetao Feng
Author Affiliations +
Proceedings Volume 6788, MIPPR 2007: Pattern Recognition and Computer Vision; 67880U (2007) https://doi.org/10.1117/12.748294
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Logo recognition has gained much development in the document retrieval and shape analysis domain. As human computer interaction becomes more and more popular, the logo recognition through a web-camera is a promising technology in view of application. But for practical application, the study of logo recognition in real scene is much more difficult than the work in clear scene. To cope with the need, we make some improvements on conventional method. First, moment information is used to calculate the test image's orientation angle, which is used to normalize the test image. Second, the main structure of the test image, which is represented by lines patterns, is acquired and modified Hausdorff distance is employed to match the image and each of the existing templates. The proposed method, which is invariant to scale and rotation, gives good result and can work at real-time. The main contribution of this paper is that some improvements are introduced into the exiting recognition framework which performs much better than the original one. Besides, we have built a highly successful logo recognition system using our improved method.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaolu Chen, Yangsheng Wang, and Xuetao Feng "Line-based logo recognition through a web-camera", Proc. SPIE 6788, MIPPR 2007: Pattern Recognition and Computer Vision, 67880U (15 November 2007); https://doi.org/10.1117/12.748294
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KEYWORDS
Image segmentation

Image processing

Distance measurement

Human-computer interaction

Sensors

Binary data

Databases

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