Writer identification with n‐tuple direction feature from contour. Issue 6 (5th April 2020)

• Record Type: Journal Article
• Authors: Ghanbarian, Alireza; Ghiasi, Golnaz; Safabakhsh, Reza; Arastouie, Narges
• Is Part Of: IET image processing. Volume 14:Issue 6(2020)
• Page Start: 1101
• Page End: 1109
• Publication Date: 2020-04-05
• Subjects: handwriting recognition -- feature extraction -- natural language processing; text‐independent writer identification -- contour‐hinge feature -- correct writer identification rate -- n‐tuple direction feature -- Farsi database -- English database; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2018.6391
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : This study introduces an effective solution for text‐independent writer identification by generalising contour‐hinge feature, which is called n ‐tuple direction feature. For extracting n ‐tuple direction feature, the authors first obtain all contours from connected components, then n + 1 points are considered on the contour with a certain distance apart, and next, the directions of the fragments connecting two successive points are computed. The n + 1 points move on the contour and the n ‐dimensional histogram of directions is computed. The proposed method is evaluated on large Farsi and English databases. A correct writer identification rate of 92.2% for English handwritings from 900 persons and 97.7% for Farsi handwritings from 600 persons are achieved. Comparison between the proposed method and other studies shows the promising performance and superiority of the proposed method.