Name
Title | ||
|---|---|---|
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition |
Abstract | ||
|---|---|---|
This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated. The work proposed is divided into three stages, namely preprocessing, feature extraction and classification. Preprocessing includes baseline estimation and normalization as well as segmentation. In the second stage, features are extracted from each of the normalized words, where a set of new features for handwritten Arabic words is proposed, based on a sliding window approach moving across the mirrored word image. The third stage is for classification and recognition, where machine learning is applied using HMMs and DBNs. In order to validate the techniques, extensive experiments were conducted using the IFN/ENIT database which contains 32,492 Arabic words. Experimental results and quantitative evaluations showed that HMM outperforms DBN in terms of higher recognition rate and lower complexity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.knosys.2011.02.008 | Knowl.-Based Syst. |
Keywords | Field | DocType |
baseline estimation,dynamic bayesian network (dbn),performance evaluation,hidden markov model,higher recognition rate,hidden markov model (hmm),off-line handwritten recognition,arabic word,comparative study,dynamic bayesian network classifier,handwritten arabic word,machine learning,ifn/enit database,enit database,extensive experiment,dynamic bayesian network,handwritten arabic word recognition,word recognition,sliding window,feature extraction | Normalization (statistics),Computer science,Artificial intelligence,Variable-order Bayesian network,Sliding window protocol,Pattern recognition,Word recognition,Speech recognition,Feature extraction,Preprocessor,Hidden Markov model,Machine learning,Dynamic Bayesian network | Journal |
Volume | Issue | ISSN |
24 | 5 | Knowledge-Based Systems |
Citations | PageRank | References |
10 | 0.56 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jawad H AlKhateeb | 1 | 45 | 2.73 |
| Olivier Pauplin | 2 | 30 | 2.74 |
| Jinchang Ren | 3 | 1144 | 88.54 |
| Jianmin Jiang | 4 | 985 | 81.39 |