O'Reilly logo

Logo Recognition by Dan Chen, Lizhe Wang, Jingying Chen

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

References
[1] N. Alajlan, M. S. Kamela, and G. Freemana. Multi-object image re-
trieval based on shape and topology. Signal Processing: Image Commu-
nication, 21(10):904–918, 2006.
[2] I. M. Anderson and J. C. Bezdek. Curvature and tangential deflection
of discrete arcs: A theory based on the commutator of scatter matrix
pairs and its application to vertex detection in planar shape data. IEEE
Trans. on Pattern Anal. Mach. Intell., 6:27–40, 1984.
[3] N. Arica and F. T. Yarman-Vural. One dimensional representation of
two dimensional information for HMM based handwritten recognition.
In Proceedings of International Conference on Image Processing, vol-
ume 2, pages 948–952, Chicago, IL, USA, 4-7 Oct. 1998.
[4] F. Arrebola, A. Bandera, P. Camacho, and F. Sandoval. Corner de-
tection by local histograms of contour chain code. Electronics Letters,
21:1769–1771, 1997.
[5] F. Arrebola and F. Sandoval. Corner detection and curve segmentation
by multiresolution chain-code linking. Pattern Recognition, 38(10):1596–
1614, 2005.
[6] F. Attneave. Some information aspects of visual perception. Psycholog-
ical Review, 61(3):183–193, 1954.
[7] G. Baek and S. Kim. Two step template matching method with corre-
lation coefficient and genetic algorithm. In ICIC’09: Proceedings of the
Intelligent Computing 5th International Conference on Emerging In-
telligent Computing Technology and Applications, pages 85–90, Berlin,
Heidelberg, 2009. Springer-Verlag.
[8] D. H. Ballard. Generalizing the Hough transform to detect arbitray
shape. Pattern Recognition, 13(2):111–122, 1981.
[9] A. Bandera, C. Urdiales, F. Arrebola, and F. Sandoval. On-line un-
supervised planar shape recognition based on curvature functions. In
Proceedings of the 24th IEEE Annual Conference, volume 3, pages 1268–
1272, Aachen, Germany, 31 Aug.-4 Sept. 1998.
153
154 Logo Recognition: Theory and Practice
[10] A. Bandera, C. Urdiales, F. Arrebola, and F. Sandoval. Corner detec-
tion by means of adaptively estimated curvature function. Electronics
Letters, 36(2):124–126, 2000.
[11] Y. Bastanlar and Y. Yardimci. Corner validation based on extracted cor-
ner properties. Computer Vision and Image Understanding, 112(3):243–
261, 2008.
[12] E. Belogay, C. Cabrelli, U. Molter, and R. Shonkwiler. Calculating
the Hausdorff distance between curves. Information Processing Letters,
64:17–22, 1997.
[13] H. Benoit and R. H. Edwin. Relational histograms for shape indexing.
In Proceedings of the 6th International Conference on Computer Vision,
pages 563–569, Bombay, India, 4-7 Jan. 1998.
[14] O. Bergig, D. Barash, and K. Kedem. RNA motif search using the
structure to string (STR
2
) method. In Computational Systems Bioin-
formatics Conference, 2004. CSB 2004. Proceedings. 2004 IEEE, pages
660 661, 2004.
[15] P. Bhowmick and B. B. Bhattacharya. Fast polygonal approximation
of digital curves using relaxed straightness properties. IEEE Trans. on
Pattern Anal. Mach. Intell., 29(9):1590–1602, 2007.
[16] H. Blum. Biological shape and visual science. Journal of Theoret. Biol.,
38:205–287, 1973.
[17] M. Bokeloh, A. Berner, M. Wand, H. Seidel, and A. Schilling. Symmetry
detection using line features. Computer Graphics Forum (Proceedings
of Eurographics), 2009.
[18] R. Bruneli and T. Poggio. Face recognition: features versus templates.
IEEE Trans. on Pattern Anal. Mach. Intell., 15:1042–1052, 1993.
[19] R. Brunelli and O. Mich. Histograms analysis for image retrieval. Pat-
tern Recognition, 34:1625–1637, 2001.
[20] H. Bunke. Hybrid methods in pattern recognition. In Pattern Recogni-
tion Theory and Application, pages 367–382, New York, 1987. Springer
Verlag.
[21] H. Bunke and A. Sanfeliu, editors. Syntactic and Structural Pattern
Recognition Theory and Application, chapter 2: String grammars for
syntactic pattern recognition, pages 30–54. Series in Computer Vision.
World Science, Singapore, 1990.
[22] H. Bunke and A. Sanfeliu, editors. Syntactic and Structural Pattern
Recognition Theory and Application. Series in Computer Vision. World
Science, Singapore, 1990.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required