Robust Palm-print Recognition Using Multi-resolution Texture Patterns with Artificial Neural Network
Palm-print recognition system is extensively deployed in a variety of applications, ranging
from forensic to mobile phones. This paper proposes a new feature extraction technique for …
from forensic to mobile phones. This paper proposes a new feature extraction technique for …
Finger knuckle image based personal authentication using DeepMatching
Recently under the lights of mega Indian Aadhaar [2] project, Indian government has been
trying to initiate a robust linkage between several financial inclusion schemes (such as …
trying to initiate a robust linkage between several financial inclusion schemes (such as …
Finger knuckle biometric feature selection based on the FIS_DE optimization algorithm
P Jayapriya, K Umamaheswari - Neural Computing and Applications, 2022 - Springer
In recent years, the hand-based biometric system has received significant attention in
identifying a person. In the hand-based biometric, the finger knuckle print plays a vital role in …
identifying a person. In the hand-based biometric, the finger knuckle print plays a vital role in …
Comprehensive survey on cancelable biometrics with novel case study on finger dorsal template protection
In order to use biometric based authentication in banking domain, it is vital to secure
biometric databases from unauthorized access. As we all know a biometric trait is …
biometric databases from unauthorized access. As we all know a biometric trait is …
A multimodal hand recognition system based on finger inner-knuckle print and finger geometry
F Bahmed, MO Mammar, A Ouamri - Journal of Applied Security …, 2019 - Taylor & Francis
Security applications based on hand biometrics are good mean for personal authentication
and access control. This article proposes a novel multimodal biometric system that makes …
and access control. This article proposes a novel multimodal biometric system that makes …
A feature level multimodal approach for palmprint and knuckleprint recognition using AdaBoost classifier
IS Oveisi, M Modarresi - 2015 International Conference and …, 2015 - ieeexplore.ieee.org
This paper represents a multimodal biometric recognition system by combining palmprint
and knuckleprint images based on feature level fusion. We intend to propose an effective …
and knuckleprint images based on feature level fusion. We intend to propose an effective …
A Review on Behavioural Biometric Authentication
MS Choudhry, V Jetli, S Mathur… - … , Security and Intelligent …, 2022 - ieeexplore.ieee.org
With the advent of technology and owing to mankind's reliance on technology, it is of utmost
importance to safeguard people's data and their identity. Biometrics have for long played an …
importance to safeguard people's data and their identity. Biometrics have for long played an …
Bring your own hand: how a single sensor is bringing multiple biometrics together
In spite of innumerable benefits of multi-biometry authentication, a couple of imaging
sensors are required to capture multi-biometric samples, but that increase the overall cost as …
sensors are required to capture multi-biometric samples, but that increase the overall cost as …
Upgrading information security and protection for palm-print templates
Biometric systems proven to be one of the most reliable and robust method for human
identification. Integration of biometrics among the standard of living provokes the necessity …
identification. Integration of biometrics among the standard of living provokes the necessity …