Paper
23 March 1994 Communication theory framework for document recognition
Gary E. Kopec, Philip A. Chou
Author Affiliations +
Proceedings Volume 2181, Document Recognition; (1994) https://doi.org/10.1117/12.171095
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States
Abstract
Document image decoding (DID) is a recently proposed generic framework for document recognition that is based on an explicit communication theory view of the processes of document creation, transmission, and interpretation. DID views a document recognition problem as containing four elements -- a message (information) source, an encoder (formatter and renderer), a noisy channel (e.g., printer, scanner) and an image decoder (recognizer). Application of DID to a particular recognition problem involves developing stochastic models for the source, encoder, and channel processes. The DID approach to modeling is based on the use of stochastic attributed context-free grammars. DID supports an approach to image decoding that has as the kernel of the method an informed best-first search algorithm, called the iterated complete path (ICP) algorithm, that is similar to branch-and bound and related heuristic search and optimization techniques. The inputs to the decoder generator are a Markov source model and values for channel parameters. The generator creates the necessary computation schedules and outputs an optimized in-line C program that implements the decoder. The customized decoder program is then compiled, linked with a support library and used to decode images.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary E. Kopec and Philip A. Chou "Communication theory framework for document recognition", Proc. SPIE 2181, Document Recognition, (23 March 1994); https://doi.org/10.1117/12.171095
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Stochastic processes

Communication theory

Image processing

Computer programming

Detection and tracking algorithms

Data modeling

Image transmission

RELATED CONTENT


Back to Top