AUTOMATIC FACIAL AGE ESTIMATION

Authors

  • SOUMYASHREE N A PG student, Dept. of CSE, UBDTC, Davanagere
  • smt. N B GEETHA Assistant professor Dept. of CSE, UBDTCE, Davanagere

Keywords:

face recognition, estimation, dense local features,support vector machine(svm)

Abstract

Face recognition is the process of identifying one or more people in images or videos by
analysing and comparing patterns. Algorithms for face recognition typically extract facial features and compare
them to a database to find the best match. Face recognition is an important part of many biometric, security, and
surveillance systems, as well as image and video indexing systems. Improvements indiscriminative power come at a
computational cost and with a risk of over-fitting. The system proposes a new approach to dense feature extraction
for age face recognition.

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Published

2017-07-25

How to Cite

SOUMYASHREE N A, & smt. N B GEETHA. (2017). AUTOMATIC FACIAL AGE ESTIMATION. International Journal of Advance Research in Engineering, Science & Technology, 4(7), 109–111. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1661

Issue

Vol. 4 No. 7 (2017): Volume: 04, Issue: 07 - July, 2017.

Section

Articles