Résumé
The problem of the automatic recognition of unconstrained handwritten mail is discussed. Our approach combines statistical and structural techniques. The statistical stage is the first and main stage of our recognition system. It uses concavity measurements to characterize the characters and a linear discrimination technique is implemented to affect one character to one cluster. The second stage, called structural supervisor, was developed in order to control and improve the results of the first stage.
| langue originale | Anglais |
|---|---|
| Pages (de - à) | 217-221 |
| Nombre de pages | 5 |
| journal | IEE Conference Publication |
| Numéro de publication | 307 |
| état | Publié - 1 déc. 1989 |
| Modification externe | Oui |
| Evénement | Third International Conference on Image Processing and its Applications - Coventry, Engl Durée: 18 juil. 1989 → 20 juil. 1989 |
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