What else does your biometric data reveal? A survey on soft biometrics

A Dantcheva, P Elia, A Ross - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …

Person retrieval in surveillance using textual query: a review

H Galiyawala, MS Raval - Multimedia Tools and Applications, 2021 - Springer
Recent advancement of research in biometrics, computer vision, and natural language
processing has discovered opportunities for person retrieval from surveillance videos using …

Emotional state prediction from online handwriting and signature biometrics

YB Ayzeren, M Erbilek, E Çelebi - IEEE Access, 2019 - ieeexplore.ieee.org
Handwriting and signature biometrics have a long history in the literature, especially in terms
of identity recognition and/or verification; nevertheless, it reveals more information therefore …

Application of convolutional neural network for fingerprint-based prediction of gender, finger position, and height

CT Hsiao, CY Lin, PS Wang, YT Wu - Entropy, 2022 - mdpi.com
Fingerprints are the most common personal identification feature and key evidence for crime
scene investigators. The prediction of fingerprints features include gender, height range (tall …

[PDF][PDF] Fingerprint based gender classification for biometric security: A state-of-the-art technique

SS Gornale - AIJRSTEM, 2015 - academia.edu
Fingerprint Identification and Verification are certainly the most reliable and adequate
evidence till date in the court of law. There are many biometric techniques like Fingerprints …

[PDF][PDF] Fingerprint based gender classification using discrete wavelet transform & artificial neural network

S Gupta, AP Rao - International Journal of Computer Science and …, 2014 - academia.edu
This research implements a novel method of gender classification using fingerprints. Two
methods are combined for gender classifications. The first method is the wavelet …

[PDF][PDF] Fingerprint based automatic human gender identification

J Sheetlani, R Pardeshi - Int. J. Comput. Appl, 2017 - academia.edu
Human beings have unique and distinct characteristics which are helpful to distinguish one
human being from another and thus acts as form of identification. Biometric allows us to …

Biases in fingerprint recognition systems: Where are we at?

E Marasco - 2019 IEEE 10th International Conference on …, 2019 - ieeexplore.ieee.org
Biometric technologies based on fingerprints are widely deployed in systems of national
importance to safeguard our society through prevention of identity theft, access control to …

[PDF][PDF] Analysis of multi-modal biometrics system for gender classification using face, iris and fingerprint images

A Patil, R Kruthi, S Gornale - … Journal of Image, Graphics and Signal …, 2019 - academia.edu
A certain number of researchers have utilized uni-modal bio-metric traits for gender
classification. It has many limitations which can be mitigated with inclusion of multiple …

Fingerprint based gender classification using DWT transform

S Tarare, A Anjikar, H Turkar - 2015 international conference on …, 2015 - ieeexplore.ieee.org
Each person's fingerprint structure is unique and is developed for bio-metric authentication
systems than others because fingerprints have advantages such as: feasible, differ from …