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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21504
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | Cancelable Biometrics Using Deep Learning |
| Authors Name: | Saloni , Subham Jain , K.R.Mamatha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_182591
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| Published Paper Id: | IJRTI2206281 |
| Published In: | Volume 7 Issue 6, June-2022 |
| DOI: | |
| Abstract: | Biometric authentication technologies tend to be more usable than standard login and token-based verification solutions. Biometric technology, on the other side, raises a slew of privacy concerns. Biometrics are permanently associated with a person and cannot be changed. As a result, when a biometric information is hacked, it is lost forever, possibly for all apps that utilize it. Furthermore, if the same biometric is used across many applications, cross-matching biometric datasets might be used to track a person from one app to the next. To address these issues, we present numerous approaches for generating multiple cancelable identities from fingerprint photos in this study. By releasing a new transformation key, a user can receive large numbers biometric IDs and they will need. An ID can be terminated and replaced, if it is compromised. To accomplish revocability and avoid cross-matching of biometric datasets, we employed the Cartesian transformation technique with Reed Solomon error correction. |
| Keywords: | Cancelable biometrics, revocable,fingerprint identification, image registration,privacy, security. |
| Cite Article: | "Cancelable Biometrics Using Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.1875 - 1883, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206281.pdf |
| Downloads: | 000205201 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2206281
Registration ID:182591
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 1875 - 1883 Country: Bangalore, Karnataka, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206281 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206281 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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