{ "ok": true, "doi": "10.46243/jst.2023.v8.i04.pp46-52", "doi_display": "10.46243/jst.2023.v8.i04.pp46-52", "doi_url": "https://doi.org/10.46243/jst.2023.v8.i04.pp46-52", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/700", "title": "Deep Learning and image processing based ATM security and identifying the face", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:28", "updated_at": "2026-09-29 23:59:46", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2023.v8.i04.pp46-52", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Deep Learning and image processing based ATM security and identifying the face", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2023.v8.i04.pp46-52" } ], "agents": [ { "role": "author", "name": { "given": "Mr. M. RAJA KUMAR", "family": "Mr. M. RAJA KUMAR" }, "sequence": "first" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2023-10-04", "date_type": "PublicationDate", "online": "2023-10-04" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "8", "issue": "4", "pages": { "first": "46", "last": "52" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/700", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/700/629", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/700/1859", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://www.jst.org.in/admin/uploads/B3.pdf", "purpose": "similarity-checking" } ], "abstract": { "value": "A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. Proposed paper uses face recognition technique for verification in ATM system. For face rec ognition, there are two types of comparisons. The first is verification, this is where the system compares the given individual with who that individual says they are and gives a yes or no decision. The next one is identification this is where the system compares the given individual to all the other individuals in the database and gives a ranked list of matches. Face recognition technology analyzes the unique shape, pattern and positioning of the facial features. Face recognition is very complex technology and is largely software based using Convolutional Neural network (CNN). Automated Teller Machines are widely used nowadays by people. But It‟s hard to carry their ATM card everywhere, people may forget to have their ATM card or forget their PIN number. Th e ATM card may get damaged and users can have a situation where they can‟t get access to their money. In our proposal, use of biometrics for authentication instead of PIN and ATM card is encouraged. Here, The Face ID is preferred to high priority, as the c ombination of these biometrics proved to be the best among the identification and verification techniques. The implementation of ATM machines comes with the issue of being accessed by illegitimate users with valid authentication code. The users are verifie d by comparing the image taken in front of the ATM machine, to the images which are present in the database", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-10-04", "applies_to": "vor" }, "references": [ { "key": "ref1", "unstructured": "All, Anne. “Triple DES dare you.” ATM Marketplace.com. 19 Apr. 2002" }, { "key": "ref2", "doi": "10.5220/0013677200004670", "unstructured": "Bone, Mike, Wayman, Dr. James L., and Blackburn, Duane. “Evaluating Facial Recognition Technology for Drug Control Applications.” ONDCP International Counterdrug Technology Symposium: Facial Recognition Vendor Test. Department of Defense Counterdrug Technology Development Program Office, June 2001" }, { "key": "ref3", "unstructured": "Gross, Ralph, Shi, Jianbo, and Cohn, Jeffrey F. “Quo vadis Face Recognition.” Third Workshop on Empirical Evaluation Methods in Computer Vision. Kauai: December 2001" }, { "key": "ref4", "doi": "10.1088/0954-898x_7_3_002", "unstructured": "Penev, Penio S., and Atick, Joseph J. “Local Feature Analysis: A General Statistical Theory for Object Representation.” Network: Computation in Neural Systems, Vol. 7, No. 3, pp. 477-500, 1996. Wrolstad, Jay. “NCR To Deploy New Microsoft OS in ATMs.” CRMDailyDotCom. 29 Nov" } ], "record": { "registrant": "Longman Publishers", "registered": "2024-02-16", "updated": "2026-09-17", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "record_sha256": "8d8b4c2b291008feb3f7e43de640eb7f1748907c76c4d617c5fc7080eaf24a9a", "handle": { "synced_at": "2026-10-01 18:12:43", "url": "https://www.jst.org.in/index.php/pub/article/view/700" }, "links": { "record_page": "https://registry.smartscholars.in/record.php?doi=10.46243%2Fjst.2023.v8.i04.pp46-52", "system_metadata": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2023.v8.i04.pp46-52&as=system", "history": "https://registry.smartscholars.in/api.php?action=history&doi=10.46243%2Fjst.2023.v8.i04.pp46-52", "kernel_xml": "https://registry.smartscholars.in/resolve.php?doi=10.46243%2Fjst.2023.v8.i04.pp46-52&as=xml" } }