Evaluation of Texture Features for Offline Arabic Writer Identification

@article{Djeddi2014EvaluationOT,
  title={Evaluation of Texture Features for Offline Arabic Writer Identification},
  author={Chawki Djeddi and Labiba Souici-Meslati and Imran Siddiqi and Abdellatif Ennaji and Haikal El Abed and Abdeljalil Gattal},
  journal={2014 11th IAPR International Workshop on Document Analysis Systems},
  year={2014},
  pages={106-110}
}
Biometric identification of persons has mainly been based on fingerprints, face, iris and other similar attributes. We propose a handwriting-based biometric identification system using a large database of Arabic handwritten documents. The system first extracts, from each handwritten sample, a set of features including run lengths, edge-hinge and edge-direction features. These features are used by a Multiclass SVM (Support Vector Machine) classifier. Experiments are conducted on a new large… CONTINUE READING

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