loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Romany F. Mansour 1 ; Abdulsamad Al-Marghilnai 2 and Meshrif Alruily 3

Affiliations: 1 Assiut University and Northern Border University, Egypt ; 2 Northen Border University, Saudi Arabia ; 3 Aljuof University, Saudi Arabia

ISBN: 978-989-758-015-4

Keyword(s): Fingerprint, Gender Classification, SVM, Biometrics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: The fingerprint is commonly used biometric method for person identification. It is the most conventional and widely used technique in forensics and criminalities. Identification of the person's age and gender based on his/her fingerprint is an important step in overall person's identification. The aim of this research paper is to propose a gender classification technique based on fingerprint characteristics of individuals using discrete cosine transform (DCT). Gender classification evaluated using dimensionality reduction techniques such as Principal Component Analysis (PCA), along with Support Vector Machine (SVM). A dataset of 2600 persons of different ages and sex was collected as internal database. Of the samples tested, 1250 samples of 1375 exactly identified male samples and 1085 samples of 1225 exactly identified female samples.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.204.48.199

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
F. Mansour, R.; Al-Marghilnai, A. and Alruily, M. (2014). Gender Classification based on Fingerprints using SVM.In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 241-244. DOI: 10.5220/0004721602410244

@conference{icaart14,
author={Romany F. Mansour. and Abdulsamad Al{-}Marghilnai. and Meshrif Alruily.},
title={Gender Classification based on Fingerprints using SVM},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={241-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004721602410244},
isbn={978-989-758-015-4},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Gender Classification based on Fingerprints using SVM
SN - 978-989-758-015-4
AU - F. Mansour, R.
AU - Al-Marghilnai, A.
AU - Alruily, M.
PY - 2014
SP - 241
EP - 244
DO - 10.5220/0004721602410244

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.