Unconstrained farsi handwritten word recognition using fuzzy vector quantization and hidden markov models

Pattern Recognition Letters

Volumn 22, Issue 2, 2001, Pages 209-214

  Dehghan, M ^a,b   Faez, K ^a   Ahmadi, M ^b   Shridhar, M ^c  

^a AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF WINDSOR   (Canada)

^c Department of Electrical and Computer Engineering   (United States)

Author keywords

Farsi handwritten word; Fuzzy vector quantization; Hidden Markov model

Indexed keywords

ALGORITHMS; EDGE DETECTION; ERROR CORRECTION; FUZZY SETS; MARKOV PROCESSES; MATHEMATICAL MODELS; PATTERN MATCHING; VECTOR QUANTIZATION;

BAUM-WELCH ALGORITHMS; FUZZY HANDWRITTEN WORD RECOGNITION; HIDDEN MARKOV MODELS (HMM);

OPTICAL CHARACTER RECOGNITION;

PATTERN RECOGNITION;

EID: 0035098108     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00090-8     Document Type: Article

References (9)

1. Off-line Arabic character recognition: The state of the art
2. FCM: The fuzzy c-means clustering algorithm
3. Variable duration hidden Markov and morphological segmentation for handwritten word recognition
4. HMM-KNN word recognition engine for bank cheque processing
5. Algorithm for stroke width compensation of handwritten characters
6. A Lexicon driven approach to handwritten word recognition for real-time applications
7. A tutorial on hidden Markov models and selected applications in speech recognition
8. Fuzzy vector quantization applied to hidden Markov modeling
9. Mathematical considerations and improvement on the fuzzy vector quantization-based hidden Markov model