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
Implementation on Real Time Age Estimation with Gender Detection with Image Processing
Authors Name:
Sharayu S. Ganorkar
, Prof. S. B. Rathod
Unique Id:
IJSDR1904077
Published In:
Volume 4 Issue 4, April-2019
Abstract:
Face recognition plays very important role in our day today life. And from several years it has been studying by various researchers which have focused on the posture enlightenment, appearance plastic surgery. Face recognition is very important because of the security purpose. With so many applications whether it may be small application or big application security is the major issue. Everyone wants their property to be secure so face recognition is the one which is used for security purpose. As it is very easy to recognize the face images of the famous personalities such as stars in various fields such as films, sports, politics, social workers etc. On the other hand the presentation of face recognition with age as consideration has been found but with incorporated in issued to give better efficiency. The comparison between existing and proposed algorithm on database shows that proposed algorithm performs significantly. In the proposed solution, two feature extraction algorithms, Histogram of Oriented Gradient (HOG), and Local Binary Pattern (LBP) are used as the feature extractors. In order to achieve effective methods of gender and age prediction, we joined both HOG and LBP features. In extensive and intensified experiments, Support Vector Machine (SVM) and Convolution Neural Network (CNN) are used for the classification process which is used for gender and age detection respectively.
Keywords:
Face Recognition, Histogram Oriented Gradients, CNN, LBP
Cite Article:
"Implementation on Real Time Age Estimation with Gender Detection with Image Processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 4, page no.364 - 367, April-2019, Available :http://www.ijsdr.org/papers/IJSDR1904077.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1904077
Registration ID:190416
Published In: Volume 4 Issue 4, April-2019
DOI (Digital Object Identifier):
Page No: 364 - 367
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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