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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 109
Article Submitted : 16085
Article Published : 7083
Total Authors : 19053
Total Reviewer : 687
Total Countries : 125
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Published Paper Details
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| Paper Title: | Age and Gender Detection using Convolution Neural Network |
| Authors Name: | A.K. Sreeja , Sharique Bahar , Gowtham M , Yashas Chandra |
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| Author Reg. ID: |
IJRTI_183381
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| Published Paper Id: | IJRTI2207284 |
| Published In: | Volume 7 Issue 7, July-2022 |
| DOI: | |
| Abstract: | Age and gender that are the two key facial attributes, play a foundational role in social interactions, making age and gender estimation from one face image a crucial task in intelligent applications, like access control, human-computer interaction, enforcement, marketing intelligence and visual surveillance. The basic aim of this paper is to develop an algorithm that estimates age and gender of a person correctly. One of the most widely used techniques is Haar cascade. In this paper we propose a model which can predict the gender of a person with the assistance of Haar Cascade. The model trained the classifier with different male and female images as positive and negative images. Different facial features are extracted. With the assistance of Haar Cascade classifier will determine whether the input image is male or female. We made use of Deep- Convolution neural network. It works efficiently even with limited data. For the age approximation task, the paper makes use of caffe deep learning framework. Caffe provides expressive architecture, extensible code. Caffe can process over 60M photos per day. This makes it one of the fastest convent implementation available. |
| Keywords: | Gender recognition, Age classification, Haar cascade, Caffe deep learning framework. |
| Cite Article: | "Age and Gender Detection using Convolution Neural Network ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1646 - 1651, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207284.pdf |
| Downloads: | 000204963 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2207284
Registration ID:183381
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 1646 - 1651 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2207284 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2207284 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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