Palm vein recognition has received some considerable attention regarding its use in biometric identification. Palm vein characteristics offer a superior level of security and …
This paper presents a multimodal biometric identification system based on the combination of geometrical, palm and finger print features of the human hand. The right hand images are …
H Hanson, MS Hrishikesh, V Agarwal… - … Transactions on Very …, 2003 - ieeexplore.ieee.org
Microprocessor performance has been improved by increasing the capacity of on-chip caches. However, the performance gain comes at the price of static energy consumption due …
Coding-based methods are among the most promising palmprint recognition methods because of their small feature size, fast matching speed and high verification accuracy. The …
A Nigam, P Gupta - Neurocomputing, 2015 - Elsevier
This paper proposes an accurate and efficient multi-modal authentication system that makes use of palm and knuckleprint samples. Biometric images are transformed using the …
In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class problem into many much easier two-class problems in sub-subspaces, was proposed to …
In this paper, we propose a novel approach of Gabor feature-based (2D) 2PCA (GB (2D) 2PCA) for palmprint recognition. Three main steps are involved in the proposed GB (2D) …
G Feng, D Hu, D Zhang, Z Zhou - Neurocomputing, 2006 - Elsevier
Locality preserving projections (LPP) is a new subspace feature extraction method which seeks to preserve the local structure and intrinsic geometry of the data space. As the LPP …
R Raghavendra, C Busch - EURASIP Journal on Information Security, 2015 - Springer
Palmprint is a widely used biometric trait deployed in various access-control applications due to its convenience in use, reliability, and low cost. In this paper, we propose a novel …