NDLI: Improving Arabic writer identification using score-level fusion of textural descriptors

Content Provider	IET Digital Library
Author	Hannad, Yaâcoub Siddiqi, Imran Djeddi, Chawki Kettani, Mohamed El Youssfi El
Abstract	This paper investigates the problem of writer identification from handwriting samples in Arabic. The proposed technique relies on extracting small fragments of writing which are characterised using two textural descriptors, Histogram of Oriented Gradients (HOG) and Gray Level Run Length (GLRL) Matrices. Similarity scores realised using HOG and GLRL features are combined using a number of fusion rules. The system is evaluated on three well-known Arabic handwriting databases, the IFN/ENIT database with 411 writers, the KHATT database with 1000 writers, and QUWI database with 1,017 writers. Fusion using the ‘sum’ rule reports the highest identification rates reading 96.86, 85.40, and 76.27% on IFN/ENIT, KHATT, and QUWI databases, respectively. The results realised on the KHATT database are comparable to the state of the art while those reported on the IFN/ENIT and QUWI databases are the highest to the best of authors' knowledge.
Starting Page	221
Ending Page	229
Page Count	9
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5009
Journal	IET Biometrics
Publisher Date	2019-01-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Arabic Handwriting Databases Arabic Writer Identification Computer Vision And Image Processing Technique Feature Extraction Fusion Rules GLRL Feature Gray Level Run Length Matrix Handwriting Recognition Handwriting Sample Handwritten Character Recognition Highest Identification Rates HOG IFN/ENIT Database Image Recognition Image Texture KHATT Database Matrix Algebra Natural Language Processing Optical, Image And Video Signal Processing Oriented Gradients QUWI Database Score-level Fusion Similarity Scores Textural Descriptors
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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