K Usha, M Ezhilarasan - … Intelligence in Data Mining-Volume 3 …, 2015 - Springer
Hand based Biometric systems are considered to be more advantageous due to its high accuracy rate and rapidity in recognition. Finger knuckle Print (FKP) is defined as a set of …
K Usha, M Ezhilarasan - Ain Shams Engineering Journal, 2018 - Elsevier
This paper investigates on the entire finger dorsal surface for human identity that can be extremely beneficial for forensics applications and its related fields. Further, this paper …
Finger Outer Knuckle (FOK) has been considered as one of the attractive biometric characteristics. A new method is proposed and called Local Binary Patterns for FOK (LBP …
A Attia, Z Akhtar, Y Chahir - Signal, Image and Video Processing, 2021 - Springer
The identification of individuals by their finger dorsal patterns has become a very active area of research in recent years. In this paper, we present a multimodal biometric personal …
K Usha, M Ezhilarasan - Alexandria Engineering Journal, 2016 - Elsevier
Hand-based biometrics plays a significant role in establishing security for real-time environments involving human interaction and is found to be more successful in terms of …
This paper presents a contactless hand biometric system at unrestricted hand pose environment. A new preprocessing technique is proposed for defining the finger contour …
R Luo, T Lin - Chinese Optics Letters, 2007 - opg.optica.org
The finger joint lines defined as finger creases and its distribution can identify a person. In this paper, we propose a new finger crease pattern recognition method based on Legendre …
K Usha, M Ezhilarasan - Journal of King Saud University-Computer and …, 2016 - Elsevier
Finger knuckle print is considered as one of the emerging hand biometric traits due to its potentiality toward the identification of individuals. This paper contributes a new method for …
A Kumar, Y Zhou - Electronics Letters, 2009 - researchgate.net
This paper proposes a novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform …