Abstract
A novel scheme is presented to detect and recognise a logo in a given document(s). Another area of interest will be dealing with distorted logos. This refers to logos, which are scaled, rotated, and have a brightness or contrast variation from the original logo. The system recognises these logos and makes correct judgements regarding their identity. The success rate for this system is about 75 to 80 percent
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References
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© 2002 Springer-Verlag Berlin Heidelberg
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Joshi, V., Jain, L.C., Seiffert, U., Zyga, K., Price, R., Leisch, F. (2002). Neural Techniques in Logo Recognition. In: Abraham, A., Köppen, M. (eds) Hybrid Information Systems. Advances in Soft Computing, vol 14. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1782-9_3
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DOI: https://doi.org/10.1007/978-3-7908-1782-9_3
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1480-4
Online ISBN: 978-3-7908-1782-9
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