Reading ancient coins: Automatically identifying denarii using obverse legend seeded retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7575 LNCS, Issue PART 4, 2012, Pages 317-330

  Arandjelović, Ognjen ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Image; Inscription; Motif; Recognition; Reverse; Text

Indexed keywords

IMAGE; INSCRIPTION; MOTIF; RECOGNITION; REVERSE; TEXT;

CHARACTER RECOGNITION; COMPUTER VISION; DATA PROCESSING; PHOTOGRAPHY;

SEARCH ENGINES;

EID: 84867880812     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33765-9_23     Document Type: Conference Paper

References (17)

1. Webb, P.H. (vol. I), Mattingly, H., Sydenham, A., Sutherland, C.H.V. (vol. II-III), Sutherland, C.H.V., Carson, R.A.G. (vol. VI-IX), Carson, R.A.G., Kent, J.P.C., Burnett, A.M. (vol. X) (eds.): Roman Imperial Coinage, vol. I-X. Spink, London (1923-1994)
2. Webb, P.H. (vol. I), Mattingly, H., Sydenham, A., Sutherland, C.H.V. (vol. II-III), Sutherland, C.H.V., Carson, R.A.G. (vol. VI-IX), Carson, R.A.G., Kent, J.P.C., Burnett, A.M. (vol. X) (eds.): Roman Imperial Coinage, vol. I-X. Spink, London (1923-1994)
3. Webb, P.H. (vol. I), Mattingly, H., Sydenham, A., Sutherland, C.H.V. (vol. II-III), Sutherland, C.H.V., Carson, R.A.G. (vol. VI-IX), Carson, R.A.G., Kent, J.P.C., Burnett, A.M. (vol. X) (eds.): Roman Imperial Coinage, vol. I-X. Spink, London (1923-1994)
4. Webb, P.H. (vol. I), Mattingly, H., Sydenham, A., Sutherland, C.H.V. (vol. II-III), Sutherland, C.H.V., Carson, R.A.G. (vol. VI-IX), Carson, R.A.G., Kent, J.P.C., Burnett, A.M. (vol. X) (eds.): Roman Imperial Coinage, vol. I-X. Spink, London (1923-1994)
5. The portable antiquities scheme, http://finds.org.uk/ (last accessed July 2012)
6. Davidsson, P.: Coin classification using a novel technique for learning characteristic decision trees by controlling the degree of generalization. In: Proc. IEA/AIE, pp. 403-412 (1996)
7. Mitsukura, Y., Fukumi, M., Akamatsu, N.: Design and evaluation of neural networks for coin recognition by using GA and SA. In: Proc. IJCNN, vol. 5, pp. 178-183 (2000)
8. Huber, R., Ramoser, H., Mayer, K., Penz, H., Rubik, M.: Classification of coins using an eigenspace approach. Pattern Recognition Letters 26(1), 61-75 (2005)
9. van der Maaten, L., Boon, P.: COIN-O-MATIC: A fast system for reliable coin classification. In: Proc. MUSCLE CIS Coin Recognition Competition Workshop, pp. 7-18 (2006)
10. Zaharieva, M., Kampel, M., Zambanini, S.: Image Based Recognition of Ancient Coins. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds.) CAIP 2007. LNCS, vol. 4673, pp. 547-554. Springer, Heidelberg (2007)
11. Kampel, M., Zaharieva, M.: Recognizing Ancient Coins Based on Local Features. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Porikli, F., Peters, J., Klosowski, J., Arns, L., Chun, Y.K., Rhyne, T.-M., Monroe, L. (eds.) ISVC 2008, Part I. LNCS, vol. 5358, pp. 11-22. Springer, Heidelberg (2008)
12. Arandjelović, O.: Automatic attribution of ancient Roman imperial coins. In: Proc. CVPR, pp. 1728-1734 (2010)
13. WildWinds graphical partial legend search engine, http://www.wildwinds. com/coins/findstr.html (last accessed July 2012)
14. Ancient coins search engine, http://www.acsearch.info/ (last accessed July 2012)
15. Dalai, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Proc. CVPR, vol. 1, pp. 886-893 (2005)
16. Tipping, M.E., Bishop, C.M.: Probabilistic principal component analysis. Journal of the Royal Statistical Society 61(3), 611-622 (1999)
17. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60(2), 91-110 (2003)