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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
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 108
Article Submitted : 14946
Article Published : 6711
Total Authors : 17943
Total Reviewer : 656
Total Countries : 120
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| Paper Title: | Iris Features based Gender Classification using Radial SVM Classifier |
| Authors Name: | Mohit Payasi , Prof. Kanchan Cecil |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_181546
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| Published Paper Id: | IJRTI2106011 |
| Published In: | Volume 6 Issue 6, June-2021 |
| DOI: | |
| Abstract: | Identification of sex plays a vital role in forensic and medico legal investigations. Redial kernel SVM base classifier is used for gender identification in this work and crypt densities are considered as the features for classification. SVM classifiers discover amend individual when inert crypts in iris typically accessible technique is has less acknowledgment rate & less edge thickness. The paper conducted on 200 subjects (100 males and 100 females) in the age group of 18–60 years. Crypt densities on the right- and left-iris were determined using a newly designed layout and analyzed statistically, the proposed work results showed that females tend to have a higher iris-crypt density in both the areas examined, individually and combined. Differences in the crypt density can be used as an important tool for the determination of gender in cases where partial eye-iris are encountered as evidence.The work is done on MATLAB 2018b version & standard human face database is FERET for genuine comparison. |
| Keywords: | SVM, LoC, RoC, MATLAB, Crypts, Iris, FERET |
| Cite Article: | "Iris Features based Gender Classification using Radial SVM Classifier", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.6, Issue 6, page no.49 - 57, June-2021, Available :http://www.ijrti.org/papers/IJRTI2106011.pdf |
| Downloads: | 000204849 |
| 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: IJRTI2106011
Registration ID:181546
Published In: Volume 6 Issue 6, June-2021
DOI (Digital Object Identifier):
Page No: 49 - 57 Country: Jabalpur, MP, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2106011 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2106011 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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