What else does your biometric data reveal? A survey on soft biometrics
Recent research has explored the possibility of extracting ancillary information from primary
biometric traits viz., face, fingerprints, hand geometry, and iris. This ancillary information …
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 …
processing has discovered opportunities for person retrieval from surveillance videos using …
Emotional state prediction from online handwriting and signature biometrics
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 …
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
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 …
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 …
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 …
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 …
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 …
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 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 …
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 …
systems than others because fingerprints have advantages such as: feasible, differ from …