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While mature identification systems have been developed for handwriting in contemporary documents, the problem remains challenging from the viewpoint of historical manuscripts. Design and development of expert systems that can identify the writer of a questioned manuscript or retrieve samples belonging to a given writer can greatly help the paleographers in their practices. In this context, the current study exploits the textural information in handwriting to characterize writer from historical documents. More specifically, we employ oBIF(oriented Basic Image Features) and hinge features and introduce a novel moment-based matching method to compare the feature vectors extracted from writing samples. Classification is based on minimization of a similarity criterion using the proposed moment distance. A comprehensive series of experiments using the International Conference on Document Analysis and Recognition 2017 historical writer identification dataset reported promising results and validated the ideas put forward in this study.<\/jats:p>","DOI":"10.1515\/jisys-2022-0244","type":"journal-article","created":{"date-parts":[[2023,2,23]],"date-time":"2023-02-23T22:17:56Z","timestamp":1677190676000},"source":"Crossref","is-referenced-by-count":6,"title":["A new method for writer identification based on historical documents"],"prefix":"10.1515","volume":"32","author":[{"given":"Abdeljalil","family":"Gattal","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Echahid Cheikh Larbi Tebessi University, Route de Constantine 12002 T\u00e9bessa , Tebessa , Algeria"}]},{"given":"Chawki","family":"Djeddi","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Echahid Cheikh Larbi Tebessi University, Route de Constantine 12002 T\u00e9bessa , Tebessa , Algeria"}]},{"given":"Faycel","family":"Abbas","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Echahid Cheikh Larbi Tebessi University, Route de Constantine 12002 T\u00e9bessa , Tebessa , Algeria"}]},{"given":"Imran","family":"Siddiqi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, AI Enabling Technologies Research Center, Bahria University , Islamabad 44000 , Pakistan"}]},{"given":"Brahim","family":"Bouderah","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of M\u2019sila , M\u2019sila 28000 , Algeria"}]}],"member":"374","published-online":{"date-parts":[[2023,2,24]]},"reference":[{"key":"2025120517213945273_j_jisys-2022-0244_ref_001","doi-asserted-by":"crossref","unstructured":"Bensefia A, Tamimi H. 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