Recognition of handwritten and machine-printed text for postal address interpretation

Pattern Recognition Letters

Volumn 14, Issue 4, 1993, Pages 291-302

  Srihari, Sargur N ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

address interpretation; handwriting recognition; neural networks; OCR

Indexed keywords

EID: 2342526393     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-8655(93)90095-U     Document Type: Article

References (16)

1. Understanding handwritten text in a structured environment determining ZIP Codes from addresses
2. A constraint satisfaction approach to the resolution of uncertainty in image interpretation
3. A combination of statistical and syntactical pattern recognition applied to classification of unconstrained handwritten numerals
4. High speed pattern recognition system for alphanumeric handprinted characters
5. Segmentation of automatically located handwritten numeric strings
6. How neural networks learn from experience
7. A theory of Multi-classifier Systems and its Application to Visual Word Recognition
8. Method and Apparatus for Handwritten Character Recognition
9. Bayesian and neural network pattern recognition: a theoretical connection and empirical results with handwritten characters
10. Text parsing using spatial information for recognizing addresses in mail pieces
11. Postal address block location in real time
12. A multi-level pattern matching method for text image parsing
13. A multifont word recognition system for postal address reading
14. High-performance reading machines
15. A system to locate and recognize ZIP codes in handwritten addresses
16. Character recognition