Document Image Analysis Publications
M. Cannon, M. Fugate, D. Hush, and C. Scovel. Selecting a Restoration Technique to Minimize OCR Error. IEEE Transactions on Neural Networks, v. 14, No 3. pp. 478--490, May 2003. Los Alamos National Laboratory Technical Report LA-UR-01-6860. [ Abstract | PostScript (376 KB) | PDF (414 KB) ]
J. Hochberg, K. Bowers, M. Cannon, and P. Kelly. Handwritten document image analysis at Los Alamos: Script, language, and writer identification. In Proceedings of the 1999 Symposium on Document Image Understanding Technology, pp. 161-165, Annapolis, MD, May 1999. Los Alamos National Laboratory Technical Report LA-UR-99-1679. [ Abstract | PostScript (630 KB) | PDF (30 KB) ]
M. Cannon, J. Hochberg, and P. Kelly. QUARC: A Remarkably Effective Method for Increasing the OCR Accuracy of Degraded Typewritten Documents. In Proceedings of the 1999 Symposium on Document Image Understanding Technology, pp. 154-158, Annapolis, MD, May 1999. Los Alamos National Laboratory Technical Report LA-UR-99-1233. [ Abstract | PostScript (687 KB) | PDF (67 KB) ]
M. Cannon, J. Hochberg, and P. Kelly. Quality Assessment and Restoration of Typewritten Document Images. International Journal on Document Analysis and Recognition. Volume 2, Number 2, pages 80-89, 1999. Los Alamos National Laboratory Technical Report LA-UR-98-5336. [ Abstract ]
J. Hochberg, K. Bowers, M. Cannon, and P. Kelly. Script and Language Identification for Handwritten Document Images. International Journal on Document Analysis and Recognition. Volume 2, Number 2, pages 45-52, 1999. Los Alamos National Laboratory Technical Report LA-UR-98-5636. [ Abstract ]
J. Hochberg, M. Cannon, P. Kelly, and J. White. Page Segmentation Using Script Identification Vectors: A First Look. In Proceedings of the 1997 Symposium on Document Image Understanding Technology, pp. 258-264, 1997. Los Alamos National Laboratory Technical Report LA-UR-97-1281. [ Abstract | PDF (63 KB) | Images ]
J. Hochberg, P. Kelly, T. Thomas, and L. Kerns. Automatic Script Identification From Document Images Using Cluster-Based Templates. IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 19, Number 2, pp. 176-181, February 1997. Los Alamos National Laboratory Technical Report LA-UR-95-2598. [ Abstract ]
M. Cannon, P. Kelly, S. SitharamaIyengar and Nathan Brener. An automated system for numerically rating document image quality. In SPIE Vol. 3027 Document Recognition IV, pp. 161-167, 1997. Los Alamos National Laboratory Technical Report LA-UR-97-0214. [ Abstract | Postscript (920 KB) | PDF (76 KB) ]
J. Hochberg, L. Kerns, P. Kelly and T. Thomas. Automatic script identification from images using cluster-based templates. In Proceedings of the Third International Conference on Document Analysis and Recognition (ICDAR '95). IEEE Computer Society Press, pp. 378-381, 1995. Los Alamos National Laboratory Technical Report LA-UR-95-0021. [ Abstract | PDF (32 KB) ]






