Towards Chaos-driven Max-Min Hashing for Palmprint Template Protection

Towards Chaos-driven Max-Min Hashing for Palmprint Template Protection | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Towards Chaos-driven Max-Min Hashing for Palmprint Template Protection Xiang Wang, Shiyu Gu, Quan Zhang, Kaiyue Liu, Fengshuo Liu, Hui Zhang, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6956236/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Template protection mechanisms enhance the security deployment capabilities of palmprint recognition systems by applying irreversible transformations or encryption techniques to biometric templates. However, most existing methods rely on fixed auxiliary data or transformation parameters to maintain consistency between registration templates and query templates, introducing a self-contradictory vulnerability: once these external elements are compromised, irreversibility is lost. To address this issue, we propose a user-centric, chaos-based palmprint template protection framework named CHAMP, which eliminates the need for any auxiliary storage or parameter sharing. CHAMP integrates two key components: Chaos-Driven Temporary Encrypted Data (CDT-ED) , which generates chaos-based permutations and matrix groups during the session and immediately discards them, enforcing a short-lived “use-once-and-destroy” strategy to prevent the reuse or reconstruction of conversion traces; Chaotic Maximum-Minimum Index Hashing (CMMIH) , an algorithm combining chaotic feature disruption with maximum-minimum index encoding to blur spatial structures and enhance irreversibility; Experimental results on fingerprint datasets from PolyU, Tongji University, and IITD demonstrate that CHAMP achieves state-of-the-art recognition performance. Additionally, comprehensive security analysis confirms its compliance with revocable biometric standards, providing robust irreversibility, unlinkability, revocability, and privacy protection against various attacks. Chaotic system Cancelable palmprint Template Protection irreversible transformations Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6956236","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":482516974,"identity":"7e65b5ac-fbcb-475d-af28-be28993dd91b","order_by":0,"name":"Xiang Wang","email":"","orcid":"","institution":"Anhui University","correspondingAuthor":false,"prefix":"","firstName":"Xiang","middleName":"","lastName":"Wang","suffix":""},{"id":482516975,"identity":"d6610767-8efc-4126-9401-e16152b194ad","order_by":1,"name":"Shiyu Gu","email":"","orcid":"","institution":"Anhui 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Protection, irreversible transformations","lastPublishedDoi":"10.21203/rs.3.rs-6956236/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6956236/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eTemplate protection mechanisms enhance the security deployment capabilities of palmprint recognition systems by applying irreversible transformations or encryption techniques to biometric templates. However, most existing methods rely on fixed auxiliary data or transformation parameters to maintain consistency between registration templates and query templates, introducing a self-contradictory vulnerability: once these external elements are compromised, irreversibility is lost. To address this issue, we propose a user-centric, chaos-based palmprint template protection framework named CHAMP, which eliminates the need for any auxiliary storage or parameter sharing. CHAMP integrates two key components: \u003cem\u003eChaos-Driven Temporary Encrypted Data (CDT-ED)\u003c/em\u003e, which generates chaos-based permutations and matrix groups during the session and immediately discards them, enforcing a short-lived \u0026ldquo;use-once-and-destroy\u0026rdquo; strategy to prevent the reuse or reconstruction of conversion traces; \u003cem\u003eChaotic Maximum-Minimum Index Hashing (CMMIH)\u003c/em\u003e, an algorithm combining chaotic feature disruption with maximum-minimum index encoding to blur spatial structures and enhance irreversibility; Experimental results on fingerprint datasets from PolyU, Tongji University, and IITD demonstrate that CHAMP achieves state-of-the-art recognition performance. Additionally, comprehensive security analysis confirms its compliance with revocable biometric standards, providing robust irreversibility, unlinkability, revocability, and privacy protection against various attacks.\u003c/p\u003e","manuscriptTitle":"Towards Chaos-driven Max-Min Hashing for Palmprint Template Protection","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-07-11 08:15:22","doi":"10.21203/rs.3.rs-6956236/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"914aa1ec-ba6a-4a38-b69f-1dcfe033c756","owner":[],"postedDate":"July 11th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-09-16T12:53:47+00:00","versionOfRecord":[],"versionCreatedAt":"2025-07-11 08:15:22","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6956236","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6956236","identity":"rs-6956236","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}