A blackboard-based approach to handwritten ZIP code recognition
- 6 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 111-113
- https://doi.org/10.1109/icpr.1988.28184
Abstract
A methodology for recognizing ZIP codes (US postal codes) in handwritten addresses is presented that uses many diverse pattern recognition and image processing algorithms. Given a high-resolution image of a handwritten address block, the solution invokes routines capable of hypothesizing the location of the ZIP code, segmenting and recognizing ZIP code digits, locating and recognizing city and state names, and looking up the results in a dictionary. The control structure is not strictly sequential, but rather in the form of a blackboard architecture that opportunistically invokes routines as needed. An implementation of the methodology is described as well as results with a database of grey-level images of handwritten addresses (taken from live mail in a US Postal Service mail processing facility). Future extensions of the approach are discussed.<>Keywords
This publication has 3 references indexed in Scilit:
- A blackboard-based approach to handwritten ZIP code recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- COMPUTER RECOGNITION OF TOTALLY UNCONSTRAINED HANDWRITTEN ZIP CODESInternational Journal of Pattern Recognition and Artificial Intelligence, 1987
- Recognition of isolated and simply connected handwritten numeralsPattern Recognition, 1986