Journal article Open Access
Telugu Maddileti; G. Shriphad Rao; Vaddemani Sai Madhav; Ganti Sharan
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/be976d11-d99e-4190-a83a-3cb4d2122333/B3917129219.pdf" }, "checksum": "md5:3e2e2065a7e19f429b3c3b8243baa349", "bucket": "be976d11-d99e-4190-a83a-3cb4d2122333", "key": "B3917129219.pdf", "type": "pdf", "size": 637628 } ], "owners": [ 251627 ], "doi": "10.35940/ijeat.B3917.129219", "stats": { "version_unique_downloads": 12.0, "unique_views": 15.0, "views": 18.0, "version_views": 18.0, "unique_downloads": 12.0, "version_unique_views": 15.0, "volume": 8289164.0, "version_downloads": 13.0, "downloads": 13.0, "version_volume": 8289164.0 }, "links": { "doi": "https://doi.org/10.35940/ijeat.B3917.129219", "latest_html": "https://zenodo.org/record/5602630", "bucket": "https://zenodo.org/api/files/be976d11-d99e-4190-a83a-3cb4d2122333", "badge": "https://zenodo.org/badge/doi/10.35940/ijeat.B3917.129219.svg", "html": "https://zenodo.org/record/5602630", "latest": "https://zenodo.org/api/records/5602630" }, "created": "2021-10-27T07:09:18.403522+00:00", "updated": "2021-10-27T13:48:50.684429+00:00", "conceptrecid": "5602629", "revision": 2, "id": 5602630, "metadata": { "access_right_category": "success", "doi": "10.35940/ijeat.B3917.129219", "description": "<p>Face is the easiest way to penetrate each other's personal identity. Face recognition is a method of personal identification using the personal characteristics of an individual to decide the identification of a person. The method of human face recognition consists basically of two levels, namely face detection and face recognition. There are three types of methods that are currently popular in the developed face recognition pattern, those are Eigen faces algorithm, Fisher faces algorithm and CNN neural network for face recognition</p>", "contributors": [ { "affiliation": "Publisher", "type": "Sponsor", "name": "Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)" } ], "title": "Home Security using Face Recognition Technology", "license": { "id": "CC-BY-4.0" }, "journal": { "volume": "9", "issue": "2", "pages": "678-682", "title": "International Journal of Engineering and Advanced Technology (IJEAT)" }, "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "5602629" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "5602630" } } ] }, "language": "eng", "subjects": [ { "term": "ISSN", "scheme": "issn", "identifier": "2249-8958" }, { "term": "Retrieval Number", "scheme": "handle", "identifier": "B3917129219/2019\u00a9BEIESP" } ], "keywords": [ "Face recognition, Face-detection, Eigen-faces, Fisher-faces, CNN, neural network, Residual network." ], "publication_date": "2019-12-30", "creators": [ { "affiliation": "Assistant Professor, ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301.", "name": "Telugu Maddileti" }, { "affiliation": "ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301", "name": "G. Shriphad Rao" }, { "affiliation": "ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301", "name": "Vaddemani Sai Madhav" }, { "affiliation": "ECM Department, Sreenidhi Institute of Science and Technology, Ghatekesar, Telangana-501301", "name": "Ganti Sharan" } ], "access_right": "open", "resource_type": { "subtype": "article", "type": "publication", "title": "Journal article" }, "related_identifiers": [ { "scheme": "issn", "identifier": "2249-8958", "relation": "isCitedBy", "resource_type": "publication-article" } ] } }
Views | 18 |
Downloads | 13 |
Data volume | 8.3 MB |
Unique views | 15 |
Unique downloads | 12 |