{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T17:30:04Z","timestamp":1779903004743,"version":"3.53.1"},"reference-count":20,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Multimodal biometrics is the technique of using multiple modalities on a single system. This allows us to overcome the limitations of unimodal systems, such as the inability to acquire data from certain individuals or intentional fraud, while improving recognition performance. In this paper, a study of score normalization and its impact on the performance of the system is performed. The fusion of scores requires prior normalisation before applying a weighted sum fusion that separates impostor and genuine scores into a common interval with close ranges. The experiments were carried out on three biometric databases. The results show that the proposed strategy performs very encouragingly, especially in combination with Empirical Modal Decomposition (EMD). The proposed fusion system shows good performance. The best result is obtained by merging the globality online signature and fingerprint where an EER of 1.69 % is obtained by normalizing the scores according to the Min-Max method.<\/jats:p>","DOI":"10.2478\/acss-2023-0006","type":"journal-article","created":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T06:46:38Z","timestamp":1692341198000},"page":"58-65","source":"Crossref","is-referenced-by-count":3,"title":["Multimodal Biometric System Based on the Fusion in Score of Fingerprint and Online Handwritten Signature"],"prefix":"10.2478","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4950-1562","authenticated-orcid":false,"given":"Toufik","family":"Hafs","sequence":"first","affiliation":[{"name":"LERICA, Dept. Electronics , Badji Mokhtar Annaba University , Annaba , Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3578-2634","authenticated-orcid":false,"given":"Hatem","family":"Zehir","sequence":"additional","affiliation":[{"name":"LERICA, Dept. Electronics , Badji Mokhtar Annaba University , Annaba , Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali","family":"Hafs","sequence":"additional","affiliation":[{"name":"Department of Physics , University of Chadli Bendjedid , El Tarf , Algeria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5490-9215","authenticated-orcid":false,"given":"Amine","family":"Nait-Ali","sequence":"additional","affiliation":[{"name":"LISSI, University of Paris , Cr\u00e9teil , France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2023,8,17]]},"reference":[{"key":"2026042709093980599_j_acss-2023-0006_ref_001","doi-asserted-by":"crossref","unstructured":"K. Lalovi\u0107, I. Tot, A. Arsi\u0107, and M. \u0160kari\u0107, \u201cSecurity information system, based on fingerprint biometrics,\u201d Acta Polytech. 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