Context-directed segmentation algorithm for handwritten numeral strings

Image and Vision Computing

Volumn 5, Issue 1, 1987, Pages 3-9

  Shridhar, M ^a   Badreldin, A ^b  

^a UNIVERSITY OF MICHIGAN DEARBORN   (United States)

^b GENERAL MOTORS CORPORATION   (United States)

Author keywords

handwritten numerals; machine recognition; segmentation

Indexed keywords

COMPUTER PROGRAMMING - ALGORITHMS; DATA PROCESSING - DATA ACQUISITION; MATHEMATICAL TECHNIQUES - TREES;

CONTEXT-DIRECTED ALGORITHM; HANDWRITTEN NUMERAL STRINGS; ISOLATED AND CONNECTED NUMERALS; MACHINE RECOGNITION; SEGMENTATION ALGORITHM;

CHARACTER RECOGNITION;

EID: 0023295086     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(87)90071-0     Document Type: Article

References (4)

1. Automatic recognition of handprinted characters—the state-of-the-art
2. Feature extraction of manufactured parts in the presence of spurious reflections
3. Structural recognition of handwritten numeral strings
4. A high accuracy syntactic recognition algorithm for handwritten numerals