A ground truth bleed-through document image database

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

Volumn 7489 LNCS, Issue , 2012, Pages 185-196

  Rowley Brooke, Róisín ^a   Pitié, François ^a   Kokaram, Anil ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

bleed through; Document database; document restoration

Indexed keywords

BLEED-THROUGH; DOCUMENT DATABASE; DOCUMENT IMAGES; DOCUMENT RESTORATION; GROUND TRUTH; IMAGE PAIRS; RESTORATION METHODS; TEXT MASKS;

DIGITAL LIBRARIES; RESTORATION;

DATABASE SYSTEMS;

EID: 84867687774     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33290-6_21     Document Type: Conference Paper

References (17)

1. Burgoyne, J.A., Devaney, J., Pugin, L., Fujinaga, I.: Enhanced bleedthrough correction for early music documents with recto-verso registration. In: Int. Conf. Music Inform. Retrieval, Philadelphia, PA, pp. 407-412 (2008)
2. Castro, P., Almeida, R.J., Pinto, J.R.C.: Restoration of Double-Sided Ancient Music Documents with Bleed-Through. In: Rueda, L., Mery, D., Kittler, J. (eds.) CIARP 2007. LNCS, vol. 4756, pp. 940-949. Springer, Heidelberg (2007)
3. Fadoua, D., Le Bourgeois, F., Emptoz, H.: Restoring Ink Bleed-Through Degraded Document Images Using a Recursive Unsupervised Classification Technique. In: Bunke, H., Spitz, A.L. (eds.) DAS 2006. LNCS, vol. 3872, pp. 38-49. Springer, Heidelberg (2006)
4. Dubois, E., Pathak, A.: Reduction of bleed-through in scanned manuscript documents. In: IS&T Image Process., Image Quality, Image Capture Syst. Conf., Montreal, Canada, vol. 4, pp. 177-180 (2001)
5. Estrada, R., Tomasi, C.: Manuscript bleed-through removal via hysteresis thresholding. In: 10th Int.l Conf. Doc. Anal. and Recogn., Barcelona, Spain, pp. 753-757 (2009)
6. Gatos, B., Pratikakis, I., Perantonis, S.J.: Adaptive degraded document image binarization. J. Pattern Recogn. 39(3), 317-327 (2006)
7. Huang, Y., Brown, M.S., Xu, D.: A framework for reducing ink-bleed in old documents. In: IEEE Conf. Comput. Vis. Pattern Recogn., Anchorage, AK, pp. 1-7 (2008)
8. Huang, Y., Brown, M.S., Xu, D.: User-assisted ink-bleed reduction. IEEE Trans. Image Process. 19(10), 2646-2658 (2010)
9. Moghaddam, R.F., Cheriet, M.: Low quality document image modeling and enhancement. Int. J. Doc. Anal. Recogn. 11(4), 183-201 (2009)
10. Moghaddam, R.F., Cheriet, M.: A variational approach to degraded document enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 32(8), 1347-1361 (2010)
11. Rowley-Brooke, R., Kokaram, A.: Bleed-through removal in degraded documents. In: SPIE: Doc. Recogn. Retrieval Conf., San Francisco, CA (2012)
12. Sauvola, J., Pietikäinen, M.: Adaptive document image binarization. J. Pattern Recogn. 33(2), 225-236 (2000)
13. Tideman, T.N.: Independence of clones as a criterion for voting rules. J. Soc. Choice Welf. 4(3), 185-206 (1987)
14. Tonazzini, A.: Color space transformations for analysis and enhancement of ancient degraded manuscripts. J. Pattern Recogn. Image Anal. 20(3), 404-417 (2010)
15. Tonazzini, A., Bedini, L., Salerno, E.: Independent component analysis for document restoration. Int. J. Doc. Anal. Recogn. 7(1), 17-27 (2004)
16. Tonazzini, A., Salerno, E., Bedini, L.: Fast correction of bleed-through distortion in grayscale documents by a blind source separation technique. Int. J. Doc. Anal. Recogn. 10(1), 17-25 (2007)
17. Wolf, C.: Document ink bleed-through removal with two hidden markov random fields and a single observation field. IEEE Trans. Pattern Anal. Mach. Intell. 32(3), 431-447 (2010)