Automatically assigned DDC number: 00632

Manually assigned DDC number: 006424

Number of references: 16

Title: Neural Network Based Systems for Handprint OCR Applications

Subject: Neural Network Based Systems for Handprint OCR Applications

Description: this paper, we present a detailed exposition of our NN-based approach to a practical OCR problem. In particular, our focus is on a specific handprint recognition problem which meets three constraints. First, the data is on forms, which implies that the data March 20, 1998 DRAFT 4 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. Y, MONTH 1999 of interest is found in predetermined locations. Second, the image quality is sufficient to provide legible images, which implies that the forms have adequate space to enter the required information and that scanning resolution is sufficient to resolve the text. Third, the material to be read from the form has specific, known content, which restricts the lexicon of expected answers. The success or failure of form-based OCR is strongly influenced by the degree to which the application adheres to these constraints. ood form design is essential to economical OCR-based data input and is application-specific. Highquality scanning and good image quality are necessary to lower processing cost and allow the use of electronic images without extensive cleanup processing. Prior knowledge of field content is important both for recognition correction and for the detection of human errors in placing information on forms. We describe the design of a NN classifier for handprint classification problems. This NN is an improved MLP with the enhancements coming from well-conditioned acobians, successive regularization, and Boltzmann pruning techniques. The enhanced MLP improves the error-reject performance on handprint classification problems by factors of 2 to 4 while at the same time reducing the complexity (number of non-zero weights) of the network by about 40 to 60 . The effectiveness of the NN classifier is further illustrated by integrating...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-08-06

Pubyear: 1999

Format: ps

Identifier: http://citeseer.ist.psu.edu/191244.html

Source: ftp://sequoyah.ncsl.nist.gov/pub/papers_preprints/nnbsh_ocr.ps.Z

Language: en

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