Handwritten numerical recognition based on multiple algorithms

Pattern Recognition

Volumn 24, Issue 10, 1991, Pages 969-983

  Kimura, F ^a   Shridhar, M ^a  

^a UNIVERSITY OF MICHIGAN DEARBORN   (United States)

Author keywords

Bayes classifier; Character recognition; Combined character recognition algorithm; Quadratic discriminant function; Statistical pattern recognition; Structural pattern recognition

Indexed keywords

COMPUTER PROGRAMMING--ALGORITHMS; STATISTICAL METHODS;

HANDWRITTEN NUMERALS; HANDWRITTEN NUMERICAL RECOGNITION; MULTIPLE ALGORITHMS; NUMERAL IMAGES;

PATTERN RECOGNITION;

EID: 0026367884     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(91)90094-L     Document Type: Article

References (14)

1. Handwritten address recognition
2. Heuristic approach to handwritten numeral recognition
3. Advanced research in recognizing handwritten ZIP codes
4. Computer recognition of totally unconstrained handwritten Zip codes
5. Recognition of isolated and simply connected handwritten numerals
6. A high-accuracy syntactic recognition algorithm for handwritten numerals
7. Modified quadratic discriminant functions and the application to Chinese character recognition
8. On avoiding peaking phenomenon of the quadratic discriminant function
9. Structural classification and relaxation matching of totally unconstrained handwritten Zip-code numbers
10. Recognition of totally unconstrained handwritten Zip codes
11. A system to locate and recognize ZIP codes in handwritten addresses
12. A blackboard-based approach to handwritten ZIP code recognition