Artificial Neural Networks for Document Analysis and Recognition

Bibliography on Pre-processing
[Ahm95a] P. Ahmed. A neural network based dedicated thinning method. PRL, 16(6):585 - 590, 1995.
[Ahm95b] P. Ahmed. Unconstrained handwritten digit skeletonization by neural network. In ICDAR 95, page 631, 1995.
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[AKK94] H.K. Aghajan, B.H. Khalaj, and T. Kailath. Estimation of skew angle in text image analysis by slide: subspace-based line detection. In MVA, pages 49-60, 1994.
[Ali96] M.B.H. Ali. Background noise detection and cleaning in document images. In ICPR 96, pages 758-762, 1996.
[BHP93] N. Billawala, P. E. Hart, and M. Peairs. Image continuation. In ICDAR 93, pages 53-57, 1993.
[BM00] J. Basak and D. Mahata. A connectionist model for corner detection in binary and gray images. IEEE TNN, 11(5):1124-1132, 2000.
[CFHS03] M. Cannon, M. Fugate, D. R. Hush, and C. Scovel. Selecting a restoration technique to minimize OCR error. IEEE TNN, 14(3):478-490, 2003.
[CHK99] M. Cannon, J. Hochberg, and P. Kelly. Quality assessment and restoration of typewritten document images. Int'l J. Doc. Anal. Rec., 2(2/3):80-89, 1999.
[CK01] Z. Chi and K.W.Wong. A two-stage binarization approach for document images. In Proc. Int'l Symp. Intelligent Multimedia, Video and Speech Processing, pages 275-278, 2001.
[CLPL96] Y. Chung, K. Lee, J. Paik, and Y. Lee. Extraction and restoration of digits touching or overlapping lines. In ICPR 96, pages 155-159, 1996.
[CWL00] K. Chen, D. Wang, and X. Liu. Weight adaptation and oscillatory correlation for image segmentation. IEEE TNN, 11(5):1106-1123, 2000.
[DH94] D. DeKruger and B.R. Hunt. Image processing and Neural Networks for recognition of cartographic area features. Pattern Recognition, 27(4):461 - 484, April 1994.
[dOVdC00] J.J. de Oliveira, L. R. Veloso, and J. M. de Carcalho. Interpolation/decimation scheme applied to size normalization of character images. In ICPR 00, pages 577-580, 2000.
[DPC01] A. Datta, S. K. Parui, and B. B. Chaudhuri. Skeletonization by a topology-adaptive self-organizing neural network. Pattern Recognition, 34:617-629, 2001.
[FL94] M.A.T. Figueiredo and J.M.N. Leitao. Sequential and parallel image restoration: Neural network implementations. IEEE Trans. Image Processing, 3(6):789-801, 1994.
[FT03] D. Feiden and R. Tetzlaff. Binary image coding using cellular neural networks. In Int'l Joint Conference on Neural Networks, pages 1149-1152, 2003.
[HB97] T.M. Ha and H. Bunke. Image processing methods for document image analysis. In Handbook of character recognition and document image analysis, pages 1-47. World Scientific, 1997.
[Hol96] L. F. Holeva. Foreground-background segmentation of optical character recognition labels by a single-layer recurrent neural network. Journal of Electronic Imaging, 5:225-236, April 1996.
[LF00] W.-L. Lee and K.-C. Fan. Document image preprocessing based on optimal boolean filter. Signal Processing, 80(1), January 2000.
[LHP96] J. Liang, R.M. Haralick, and I. T. Phillips. Document image restoration using binary morphological filters. In Proc. SPIE - Doc. Rec. III, pages 274-285, 1996.
[MB91] P. Martin and C. Bellisant. Low-level analysis of music drawing images. In ICDAR 91, pages 417-425, 1991.
[Pap01] N. Papamarkos. A technique for fuzzy document binarization. In Symp. Document Engineering, pages 152-156, 2001.
[Pav96] T. Pavlidis. Document de-blurring using maximum likelihood methods. In International workshop on Document Analysis Systems, pages 63-75, 1996.
[PP96] P. Parodi and G. Piccioli. An efficient pre-processing of mixed-content document images for OCR systems. In ICPR 96, pages 778-782, 1996.
[PRO00] R. Palaniappan, P. Raveendran, and S. Omatu. New invariant moments for non-uniformly scaled images. PAA, 3(2):78-87, 2000.
[PZ02] R. M. Palenichka and M. B. Zaremba. Multi-scale model-based skeletonization of object shapes using self-organizing maps. In ICPR 02, pages 143-146, 2002.
[RB95] N. Rondel and G. Burel. Cooperation of multilayer perceptrons for the estimation of skew angle in text document images. In ICDAR 95, pages 1141-1144, 1995.
[SCP00] R. Singh, V. Cherkassky, and N. Papanikolopoulos. Self-organizing maps for the skeletonization of sparse shapes. IEEE TNN, 11(1):241-248, 2000.
[SKK95] P. Stubberud, J. Kanai, and V. Kalluri. Adaptive image restoration of text images that contain touching or broken characters. In ICDAR 95, pages 778-781, 1995.
[SMC92] F.Y. Shih, J. Moh, and F.C. Chang. A new ART-based neural architecture for pattern classification and image enhancement without prior knowledge. Pattern Recognition, 25:533-542, 1992.
[SS97] P.A. Stubberud and A.R. Stubberud. Text image restoration using cellular neural networks. In IEEE International Symposium on Circuits and Systems, pages 749-753. 1997.
[SS03] H. Sasamura and T. Saito. A simple learning algorithm for growing self-organizing maps and its application to skeletonization. In Int'l Joint Conference on Neural Networks, volume 1, pages 787-790, 2003.
[TBS03] A. Tonazzini, L. Bedini, and E. Salerno. Digital analysis of damaged documents by ICA techniques. In M. Gori and S. Marinai, editors, Proc. 1st IAPR-TC3 Workshop ANNPR, pages 33-38. ISBN 88-7957-221-0, 2003.
[TFJ89] T. Taxt, P. J. Flynn, and A. K. Jain. Segmentation of document images. IEEE TPAMI, 11(12):1322-1329, 1989.
[WTD03] D. Wang, A. Talevski, and T.S. Dillon. Edge-preserving nonlinear image restoration using adaptive components-based radial basis function neural networks. In Int'l Joint Conference on Neural Networks, volume 2, pages 1243-1248, 2003.
[WY96] A. P. Whichello and H. Yan. Linking broken character borders with variable sized masks to improve recognition. Pattern Recognition, 29(8):1429-1435, 1996.
[YKHK97] J.-Y. Yoo, M.-K. Kim, S.Y. Han, and Y.-B. Kwon. Line removal and restoration of handwritten characters on the form documents. In ICDAR 97, pages 128-131, 1997.
[YLK95] M.-Y. Yoon, S.-W. Lee, and J.S. Kim. Faxed image restoration using Kalman filtering. In ICDAR 95, pages 677-680, 1995.
[ZLD97] Y. Zhang, R. P. Loce, and E. R. Dougherty. Document restoration and enhancement using optimal iterative and paired morphological filters. In Proc. SPIE - Doc. Rec. IV, pages 109-123, 1997.


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