Proceedings ArticleDOI
Arabic Writer Identification System Using the Histogram of Oriented Gradients (HOG) of Handwritten Fragments
Yaâcoub Hannad,Imran Siddiqi,Youssef El Merabet,Mohamed El Youssfi El Kettani +3 more
- pp 98-102
TLDR
An enhanced approach for writer identification from offline Arabic handwriting samples in text-independent mode is presented where the handwriting is divided into small fragments and each fragment is represented by the histogram of oriented gradients (HOG).Abstract:
This paper 1 presents an enhanced approach for writer identification from offline Arabic handwriting samples in text-independent mode. Based on the hypothesis that graphical fragments in handwriting are individual, we propose a technique based on texture analysis where the handwriting is divided into small fragments and each fragment is represented by the histogram of oriented gradients (HOG). The set of HOG descriptors for all the fragments in the writing is used to characterize its writer. The proposed system is evaluated using writing samples of the IFN/ENIT database realizing an identification rate of 86.62% on 411 writers.read more
Citations
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Journal Article
Individuality of handwriting
TL;DR: Using global attributes of handwriting and very few characters in the writing, the ability to determine the writer with a high degree of confidence was established, a step towards providing scientific support for admitting handwriting evidence in court.
Journal ArticleDOI
Improving Arabic writer identification using score-level fusion of textural descriptors
TL;DR: 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.
Journal ArticleDOI
Multiple writer retrieval systems based on language independent dissimilarity learning
TL;DR: A new combination scheme for multiple writer retrieval systems that employ different features and dissimilarities founded on writer-independent, SVM dissimilarity learning is proposed, which outperforms both individual systems and the state of the art.
Journal ArticleDOI
Writer Identification Based on Arabic Handwriting Recognition by using Speed Up Robust Feature and K- Nearest Neighbor Classification
TL;DR: In this paper, the authors proposed a 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 accuracy.
Proceedings ArticleDOI
Authentication System Based on Hand Writing Recognition
TL;DR: A proposed method to authentication system based on a hand writing recognition without segmentation to sub letters based on feature extraction Speed Up Robust Features (SURF) and Support Vector Machine (SVM) to enhance the accuracy.
References
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Proceedings ArticleDOI
Histograms of oriented gradients for human detection
Navneet Dalal,Bill Triggs +1 more
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Distinctive Image Features from Scale-Invariant Keypoints
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Individuality of handwriting.
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