Enhancement and Cleaning of Handwritten Data by Using Neural Networks

In this work, artificial neural networks are used to clean and enhance scanned images for a handwritten recognition task. Multilayer perceptrons are trained in a supervised way using a set of simulated noisy images together with the corresponding clean images for the desired output. The neural network acquires the function of a desired enhancing method. The performance of this method has been evaluated for both noisy artificial and natural images. Objective and subjective methods of evaluation have shown a superior performance of the proposed method over other conventional enhancing and cleaning filters.

[1]  Jonathan J. Hull,et al.  A Database for Handwritten Text Recognition Research , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Ching Y. Suen,et al.  Computer recognition of unconstrained handwritten numerals , 1992, Proc. IEEE.

[3]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[4]  Anil K. Jain,et al.  Goal-Directed Evaluation of Binarization Methods , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  Salvador España Boquera,et al.  The SPARTACUS-Database: a Spanish Sentence Database for Offline Handwriting Recognition , 2004, LREC.

[6]  Horst Bunke,et al.  Handbook of Character Recognition and Document Image Analysis , 1997 .

[7]  Michael Egmont-Petersen,et al.  Image processing with neural networks - a review , 2002, Pattern Recognit..

[8]  Horst Bunke,et al.  Recognition of cursive Roman handwriting: past, present and future , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[9]  Stefan Knerr,et al.  The IRESTE On/Off (IRONOFF) dual handwriting database , 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

[10]  Isabelle Guyon,et al.  DATA SETS FOR OCR AND DOCUMENT IMAGE UNDERSTANDING RESEARCH , 1997 .

[11]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[12]  Gerald Holzmann,et al.  Beyond Photography: The Digital Darkroom , 1988 .

[13]  Horst Bunke,et al.  The IAM-database: an English sentence database for offline handwriting recognition , 2002, International Journal on Document Analysis and Recognition.

[14]  Hermann Ney,et al.  Integrated Handwriting Recognition And Interpretation Using Finite-State Models , 2004, Int. J. Pattern Recognit. Artif. Intell..

[15]  Sargur N. Srihari,et al.  On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Sargur N. Srihari,et al.  Off-Line Cursive Script Word Recognition , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Kenji Suzuki,et al.  Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Patrick J. Grother,et al.  The First Census Optical Character Recognition Systems Conference | NIST , 1992 .