Triple-type feature extraction for palmprint recognition

L Wu, Y Xu, Z Cui, Y Zuo, S Zhao, L Fei - Sensors, 2021 - mdpi.com
… of palmprint features and fuse them in a weighted matching … and discriminative power of
different types of features, we set … M-band wavelets application to palmprint recognition based …

[PDF][PDF] Palmprint recognition system based on proposed features extraction and (c5. 0) decision tree, k-nearest neighbour (knn) classification approaches

MS Kadhm, H Ayad, MJ Mohammed - J. Eng. Sci. Technol, 2021 - portal.arid.my
matching and computing time aspects is needed. Thus, in this paper a new palmprint recognition
system is proposed for recognizing the … wavelets to extract the aforementioned energy

[PDF][PDF] A Suggested System for Palmprint Recognition Using Curvelet Transform and Co-Occurrence Matrix

MM Salih - Journal of Education & Science, 2021 - iasj.net
… were used to discover the wavelet characteristics' primary … Features Extraction using co-occurrence
matrix: The features energy, entropy, contrast, and homogeneity can be extracted by …

Hybrid Feature Extractor Using Discrete Wavelet Transform and Histogram of Oriented Gradient on Convolutional-Neural-Network-Based Palm Vein Recognition

M Wulandari, R Chai, B Basari, D Gunawan - Sensors, 2024 - mdpi.com
… uses hybrid feature extraction from a discrete wavelet transform (… recognition process is
carried out to match certain features … The number of filters was set to 32 and 64 as a power of two …

Efficient palmprint biometric identification systems using deep learning and feature selection methods

S Trabelsi, D Samai, F Dornaika, A Benlamoudi… - Neural Computing and …, 2022 - Springer
… [27] proposed 2D Gabor wavelets for palmprint images. They … , all authors have relied their
research on feature extraction … the discriminating power of features. The score is given by: …

Toward efficient palmprint feature extraction by learning a single-layer convolution network

L Fei, S Zhao, W Jia, B Zhang, J Wen… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
… Gabor wavelet and its variants, are usually used for palmprint … the overall discriminative
power of the learned features, the … 0.8 for palmprint feature matching. Fig. 7 also shows that the …

COMPUTATIONLESS PALM-PRINT VERIFICATION USING WAVELET ORIENTED ZERO-CROSSING SIGNATURE

J Chaudhari, H Mewada, A Patel… - IIUM Engineering …, 2022 - journals.iium.edu.my
… where feature extraction and matching require less time and make the system approachable
to real-time. The proposed system uses dyadic wavelet … The energy of dyadic DWT is more …

[PDF][PDF] COMPUTATIONLESS PALM-PRINT VERIFICATION USING WAVELET ORIENTED ZERO-CROSSING

JP CHAUDHARI, HK MEWADA, AV PATEL… - academia.edu
… where feature extraction and matching require less time and make the system approachable
to real-time. The proposed system uses dyadic wavelet … The energy of dyadic DWT is more …

Palm vein identification based on hybrid feature selection model

A Alfoudi, A Alsaeedi, M Abed… - … Journal of Intelligent …, 2021 - shura.shu.ac.uk
features extraction from each pixel of image, in the matchingfeatures such as texture energy
is not enough for palm vein … 2D Haar -Discrete Wavelet transform for features extraction. In …

[HTML][HTML] A novel comparative study using multi-resolution transforms and convolutional neural network (CNN) for contactless palm print verification and identification

F Hardalac, H Yaşar, A Akyel, U Kutbay - Multimedia Tools and …, 2020 - Springer
… In 2009, the study of Chen and Li [7], Cross-Band Fusion by Energy Weight is applied to
sub-… in their palm print recognition study based on wavelet-based dominant feature extraction