Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Writer Identification Based on Arabic Handwriting Recognition by using Speed Up Robust Feature and K- Nearest Neighbor Classification

Domaine:

natural language processing

Type de record:

paper
Créateur:
AliBasAsm
Éditeur:
Uni
Hôte:
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).

Visit

doi.org

Tasks

computer visionoptical character recognition

Licenses

https://www.journalofbabylon.com/index.php/JUBPAS/CopyrightandLicensing

Similaires

Emotion recognition from syllabic units using k-nearest-neighbor classification and energy distributionYoruba Handwritten Character Recognition using Freeman Chain Code and K-Nearest Neighbor ClassifierONLINE HANDWRITING MONGOLIA WORDS RECOGNITION COMBINED BOTH HMM AND NEAREST NEIGHBOR CLASSIFIERSComparison of Gabor-Based Features for Writer Identification of Farsi/Arabic HandwritingComparison of k-Nearest Neighbor and Naive Bayes Methods for SNP Data ClassificationPANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Emotion recognition from syllabic units using k-nearest-neighbor classification and energy distribution

In this article, we present an automatic technique for recognizing emotional states from speech sign

Yoruba Handwritten Character Recognition using Freeman Chain Code and K-Nearest Neighbor Classifier

This work presents a recognition system for Offline Yoruba characters recognition using Freeman chai

ONLINE HANDWRITING MONGOLIA WORDS RECOGNITION COMBINED BOTH HMM AND NEAREST NEIGHBOR CLASSIFIERS

Comparison of Gabor-Based Features for Writer Identification of Farsi/Arabic Handwriting

http://www.suvisoft.com Writer identification recently has been studied and it has a

Comparison of k-Nearest Neighbor and Naive Bayes Methods for SNP Data Classification

In an accident, sometimes the identity of a person who has an accident is hard to know, so it is nec

PANDA: Extreme Scale Parallel K-Nearest Neighbor on Distributed Architectures

Computing $k$-Nearest Neighbors (KNN) is one of the core kernels used in many machine learning, data