Writer identification based on arabic handwriting recognition by using speed up robust feature and K-nearest neighbor classification
Joint Authors
Mahdi, Bashshar Sadun
Muhammad, Asma Abd Allah
Abd al-Hasan, Alya Karim
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 27, Issue 1 (28 Feb. 2019), pp.1-10, 10 p.
Publisher
Publication Date
2019-02-28
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
In a writer recognition system, the system performs a “one-to-many” search in a large database with handwriting samples of known authors and returns a possible candidate list.
This paper proposes method for writer identification handwritten Arabic word without segmentation to sub letters based on feature extraction speed up robust feature transform (SURF) and K nearest neighbor classification (KNN) to enhance the writer's identification accuracy.
After feature extraction, it can be cluster by K- means algorithm to standardize the number of features.
The feature extraction and feature clustering called to gather Bag of Word (BOW); it converts arbitrary number of image feature to uniform length feature vector.
The proposed method experimented using (IFN/ENIT) database.
The recognition rate of experiment result is (96.666).
American Psychological Association (APA)
Abd al-Hasan, Alya Karim& Mahdi, Bashshar Sadun& Muhammad, Asma Abd Allah. 2019. Writer identification based on arabic handwriting recognition by using speed up robust feature and K-nearest neighbor classification. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 27, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-1094603
Modern Language Association (MLA)
Abd al-Hasan, Alya Karim…[et al.]. Writer identification based on arabic handwriting recognition by using speed up robust feature and K-nearest neighbor classification. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 27, no. 1 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1094603
American Medical Association (AMA)
Abd al-Hasan, Alya Karim& Mahdi, Bashshar Sadun& Muhammad, Asma Abd Allah. Writer identification based on arabic handwriting recognition by using speed up robust feature and K-nearest neighbor classification. Journal of Babylon University : Journal of Applied and Pure Sciences. 2019. Vol. 27, no. 1, pp.1-10.
https://search.emarefa.net/detail/BIM-1094603
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 9-10
Record ID
BIM-1094603