Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking
Alkhateeb, Jawad H. and Ren, Jinchang and Jiang, Jianmin and Al-Muhtaseb, Husni (2011) Offline handwritten Arabic cursive text recognition using hidden markov models and re-ranking. Pattern Recognition Letters, 32 (8). pp. 1081-1088. ISSN 0167-8655 (https://doi.org/10.1016/j.patrec.2011.02.006)
Preview |
PDF.
Filename: Jawad_PRL.pdf
Preprint Download (311kB)| Preview |
Abstract
Recognition of handwritten Arabic cursive texts is a complex task due to the similarities between letters under different writing styles. In this paper, a word-based off-line recognition system is proposed, using Hidden Markov Models (HMMs). The method employed involves three stages, namely preprocessing, feature extraction and classification. First, words from input scripts are segmented and normalized. Then, a set of intensity features are extracted from each of the segmented words, which is based on a sliding window moving across each mirrored word image. Meanwhile, structure-like features are also extracted including number of subwords and diacritical marks. Finally, these features are applied in a combined scheme for classification. Intensity features are used to train a HMM classifier, whose results are re-ranked using structure-like features for improved recognition rate. In order to validate the proposed techniques, extensive experiments were carried out using the IFN/ENIT database which contains 32,492 handwritten Arabic words. The proposed algorithm yields superior results of improved accuracy in comparison with several typical methods.
ORCID iDs
Alkhateeb, Jawad H., Ren, Jinchang ORCID: https://orcid.org/0000-0001-6116-3194, Jiang, Jianmin and Al-Muhtaseb, Husni;-
-
Item type: Article ID code: 48363 Dates: DateEvent1 June 2011PublishedSubjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 30 May 2014 10:36 Last modified: 11 Nov 2024 10:42 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/48363