INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Like other widely used biometric technologies like fingerprint, iris, and finger vein pattern recognition, face recognition is a biometric technique. The face is the most important part of the human body for recognizing each individual because it contains many important features. This study creates face classification models, employing HAAR-CASCADE OpenCV for face detection and LBPH (Local Binary Pattern Histogram) for face recognition, to identify each character's face from a collected image. The suggested facial recognition attendance system will take a picture, compare it to a database-stored picture, and then automatically register attendance.
Keywords:
HAAR-CASCADE classifier, OPENCV, face recognition, face detection, LBPH, Processing, Attendance system
Cite Article:
"FACE RECOGNITION ATTENDANCE SYSTEM USING LOCAL BINARY PATTERN HISTOGRAM ALGORITHM", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 2, page no.154 - 160, February-2023, Available :http://www.ijsdr.org/papers/IJSDR2302029.pdf
Downloads:
000337350
Publication Details:
Published Paper ID: IJSDR2302029
Registration ID:203870
Published In: Volume 8 Issue 2, February-2023
DOI (Digital Object Identifier):
Page No: 154 - 160
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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