Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105545
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | - |
dc.creator | Aleem, S | - |
dc.creator | Yang, P | - |
dc.creator | Masood, S | - |
dc.creator | Li, P | - |
dc.creator | Sheng, B | - |
dc.date.accessioned | 2024-04-15T07:34:57Z | - |
dc.date.available | 2024-04-15T07:34:57Z | - |
dc.identifier.issn | 1386-145X | - |
dc.identifier.uri | http://hdl.handle.net/10397/105545 | - |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © Springer Science+Business Media, LLC, part of Springer Nature 2019 | en_US |
dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s11280-019-00698-6. | en_US |
dc.subject | Cyber-physical systems | en_US |
dc.subject | Extended local binary patterns | en_US |
dc.subject | Face recognition | en_US |
dc.subject | Finger print recognition | en_US |
dc.subject | Local non-matrix factorization | en_US |
dc.title | An accurate multi-modal biometric identification system for person identification via fusion of face and finger print | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1299 | - |
dc.identifier.epage | 1317 | - |
dc.identifier.volume | 23 | - |
dc.identifier.issue | 2 | - |
dc.identifier.doi | 10.1007/s11280-019-00698-6 | - |
dcterms.abstract | Internet of things (IoT) have entirely revolutionized the industry. However, the cyber-security of IoT enabled cyber-physical systems is still one of the main challenges. The success of cyber-physical system is highly reliant on its capability to withstand cyberattacks. Biometric identification is the key factor responsible for the provision of secure cyber-physical system. The conventional unimodal biometric systems do not have the potential to provide the required level of security for cyber-physical system. The unimodal biometric systems are affected by a variety of issues like noisy sensor data, non-universality, susceptibility to forgery and lack of invariant representation. To overcome these issues and to provide higher-security enabled cyber-physical systems, the combination of different biometric modalities is required. To ensure a secure cyber-physical system, a novel multi-modal biometric system based on face and finger print is proposed in this work. Finger print matching is performed using alignment-based elastic algorithm. For the improved facial feature extraction, extended local binary patterns (ELBP) are used. For the effective dimensionality reduction of extracted ELBP feature space, local non-negative matrix factorization is used. Score level fusion is performed for the fusion. Experimental evaluation is done on FVC 2000 DB1, FVC 2000 DB2, ORL (AT&T) and YALE databases. The proposed method achieved a high recognition accuracy of 99.59%. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | World wide web, Mar. 2020, v. 23, no. 2, p. 1299-1317 | - |
dcterms.isPartOf | World wide web | - |
dcterms.issued | 2020-03 | - |
dc.identifier.scopus | 2-s2.0-85068145519 | - |
dc.identifier.eissn | 1573-1413 | - |
dc.description.validate | 202402 bcch | - |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | COMP-0372 | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; National Key Research and Development Program of China; Macau Science and Technology Development Fund; Science and Technology Commission of Shanghai Municipality | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 21853434 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Li_Accurate_Multi-Modal_Biometric.pdf | Pre-Published version | 13.44 MB | Adobe PDF | View/Open |
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