Face extraction and recognition from public images using HIPI

dc.contributor.authorBogdanchikov A.
dc.contributor.authorKariboz D.
dc.contributor.authorMeraliyev M.
dc.date.accessioned2025-08-25T04:35:25Z
dc.date.available2025-08-25T04:35:25Z
dc.date.issued2018
dc.description.abstractSocial networking services with public data are widely used nowadays. Billions of images uploaded to the internet each day over the world. This paper proposes the idea of a system which is currently being developed. The system collects images from public sources by some specific criteria, applies face detection and recognition algorithms on collected images, and provides the results in readable form. The Apache Hadoop library is used to increase performance of the system, and images are downloaded by the help of HIPI library. For testing purposes Labeled Faces in the Wild benchmark is used as a database for images containing over 13233 images of 5749 identities. Each image is jpg format in 250*250 resolutions. Results were more than good after testing the system with this database for face detection and recognition.
dc.identifier.citationBogdanchikov A , Kariboz D , Meraliyev M / Face extraction and recognition from public images using HIPI / ResearchGate / 2018
dc.identifier.urihttps://repository.sdu.edu.kz/handle/123456789/1949
dc.language.isoen
dc.publisherResearchGate
dc.subjectimage collection
dc.subjectface detection
dc.subjectface recognition
dc.titleFace extraction and recognition from public images using HIPI
dc.typeArticle

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Face-Extraction-and-Recognition-from-Public-Images-Using-HIPI статья.pdf
Size:
319.37 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
12.6 KB
Format:
Item-specific license agreed to upon submission
Description: