[PDF][PDF] Multilayer perceptron neural network in classifying gender using fingerprint global level features

SF Abdullah, A Rahman… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Background/Objective: A new algorithms of gender classification from fingerprint is proposed
based on Acree 25mm2 square area. The classification is achieved by extracting the global …

[PDF][PDF] Development of a fingerprint gender classification algorithm using fingerprint global features

SF Abdullah, A Rahman, ZA Abas… - International Journal of …, 2016 - researchgate.net
In forensic world, the process of identifying and calculating the fingerprint features is
complex and take time when it is done manually using fingerprint laboratories magnifying …

Age estimation from fingerprints: Examination of the population in Turkey

EB Ceyhan, Ş Saĝiroĝlu, S Tatoĝlu… - 2014 13th International …, 2014 - ieeexplore.ieee.org
This paper focuses on a new approach to estimate ages from fingerprints. In the current
study, a total number of 500 fingerprints from 10 fingers of 50 Turkish citizens were collected …

3D fingerprint gender classification using deep learning

H Liu, W Zhang, F Liu, Y Qi - Chinese Conference on Biometric …, 2019 - Springer
Abstract Optical Coherence Tomography (OCT) is a high resolution imaging technology,
which provides a 3D representation of the fingertip skin. This paper for the first time …

[PDF][PDF] Support vector machine, multilayer perceptron neural network, bayes net and k-nearest neighbor in classifying gender using fingerprint features

SF Abdullah, A Rahman, ZA Abas… - International Journal of …, 2016 - academia.edu
A scientific study of fingerprints, lines, mounts and shapes of hands are called
dermatoglyphics. Dermatoglyphics features from fingerprint are statistically differ between …

[PDF][PDF] A short review of gender classification based on fingerprint using wavelet transform

S Suwarno, PI Santosa - International Journal of …, 2017 - pdfs.semanticscholar.org
In some cases, knowing the gender of fingerprint owner found in criminal or disaster scene
is advantageous. Theoretically, if the number of the male and female fingerprints in a …

[PDF][PDF] Forensic fingerprint analysis using self-organizing maps, classification and regression trees and naïve Bayes methods

LC Lee, NI Bohari, SN Abd Sanih, MY Adam - Int. J. Com. Dig. Sys, 2022 - researchgate.net
Fingerprint is one type of physical evidence frequently encountered at a crime scene. It is
useful in revealing identity of the culprit. However, poor quality latent fingerprint collected …

Forensic gender discrimination in Malaysian population using machine learning methods

LC Lee, MY Adam, SN Abd Sanih… - … on Innovation and …, 2020 - ieeexplore.ieee.org
Latent fingerprint is one of the most encountered evidence in a crime scene and is useful for
personal identification. In forensic investigation, reliability of the identification process is …

[PDF][PDF] Determining relationship between fingerprint and gender using 10 finger attributes

E CEYHAN, Ş SAĞIROĞLU - SAÜ Fen Bilimleri Enstitüsü Dergisi, 2017 - avesis.gazi.edu.tr
This study investigates the relationship among fingerprint and gender for all 10 fingerprints.
410 fingerprints taken from 19 females and 22 males aged between 18 and 25 years old …

Forensic Fingerprint Analysis using Self-Organizing Maps, Classification and Regression Trees and Naïve Bayes Methods

L Chuen Lee, N Izzati Bohari - International Journal Of …, 2021 - journals.uob.edu.bh
Fingerprint is one type of physical evidence frequently encountered at a crime scene. It is
useful in revealing identity of the culprit. However, poor quality latent fingerprint collected …