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Noisy logo recognition using line segment Hausdorff distance

✍ Scribed by Jingying Chen; Maylor K. Leung; Yongsheng Gao

Publisher: Elsevier Science
Year: 2003
Tongue: English
Weight: 540 KB
Volume: 36
Category: Article
ISSN: 0031-3203
DOI: 10.1016/s0031-3203(02)00128-0

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✦ Synopsis

Logo recognition is of great interest in the document and shape analysis domain. In order to develop a recognition method that is robust to employ under adverse conditions such as di erent scale/orientation, broken curves, added noise and occlusion, a modiÿed line segment Hausdor distance is proposed in this paper. The new approach has the advantage to incorporate structural and spatial information to compute dissimilarity between two sets of line segments rather than two sets of points. The proposed technique has been applied on line segments generated from logos with encouraging results. Clear cut distinction between the correct and incorrect matches has been observed. This suggests a strong potential for logo and shape recognition system.

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