Use of lexicon density in evaluating word recognizers

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 24, Issue 6, 2002, Pages 789-800

  Govindaraju, Venu ^a,b   Slavík, Petr ^b   Xue, Hanhong ^a,b  

^a IEEE   (United States)

^b State University of New York at Buffalo ^*  (United States)

Author keywords

Classifier combination; Edit distances; Handwritten word recognizer; Lexicon density; Performance prediction

Indexed keywords

WORD RECOGNIZERS;

COMPUTATIONAL METHODS; IMAGE SEGMENTATION; REGRESSION ANALYSIS; SPEECH RECOGNITION;

PATTERN RECOGNITION;

EID: 0036603180     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2002.1008385     Document Type: Article

References (8)

1. A maximum likelihood approach to continuous speech recognition
2. A lexicon driven approach to handwritten word recognition for real-time applications
3. Binary codes capable of correcting insertions, deletions, and reversals
4. Generalizing edit distance to incorporate domain information: Handwritten text recognition as a case study
5. The string-to-string correction problem
6. Handwritten word recognition based on structural features and stochastic models