Multispectral palmprint sample after intensity normalization: (a) Blue, (b) Green, (c) Red and (d) Near-infrared.</p
Palmprints have been widely studied for biometric recognition for many years. Traditionally, a white...
Palmprint identification is the measurement of palmprint features for recognizing the identity of a ...
International audienceIn the contemporary period, significant attention has been focused on the pros...
Multispectral palmprint sample: (a) Blue, (b) Green, (c) Red and (d) Near-infrared.</p
Pure and noisy palmprint samples: (a) Pure image, (b) Image with Gaussian white noise, (c) Image wit...
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neu...
Support vector machine and artificial neural network are widely used in classification applications....
Multispectral palmprint recognition system (MPRS) is an essential technology for effective human ide...
Recognition accuracy comparison with different multispectral palmprint recognition methods.</p
Multispectral palmprint recognition has shown broad prospects for personal identification due to its...
Among several palmprint feature extraction methods the HOG-based method is attractive and performs w...
Enhancing the reliability of palmprint recognition system lies in its robustness and antispoofing ca...
A palmprint is a unique and reliable biometric feature with high usability. In the past decades, man...
Ensuring the security of individuals is becoming an increasingly important problem in a variety of a...
Abstract—Palmprint is a unique and reliable biometric charac-teristic with high usability. With the ...
Palmprints have been widely studied for biometric recognition for many years. Traditionally, a white...
Palmprint identification is the measurement of palmprint features for recognizing the identity of a ...
International audienceIn the contemporary period, significant attention has been focused on the pros...
Multispectral palmprint sample: (a) Blue, (b) Green, (c) Red and (d) Near-infrared.</p
Pure and noisy palmprint samples: (a) Pure image, (b) Image with Gaussian white noise, (c) Image wit...
An extreme learning machine (ELM) is a novel training method for single-hidden layer feedforward neu...
Support vector machine and artificial neural network are widely used in classification applications....
Multispectral palmprint recognition system (MPRS) is an essential technology for effective human ide...
Recognition accuracy comparison with different multispectral palmprint recognition methods.</p
Multispectral palmprint recognition has shown broad prospects for personal identification due to its...
Among several palmprint feature extraction methods the HOG-based method is attractive and performs w...
Enhancing the reliability of palmprint recognition system lies in its robustness and antispoofing ca...
A palmprint is a unique and reliable biometric feature with high usability. In the past decades, man...
Ensuring the security of individuals is becoming an increasingly important problem in a variety of a...
Abstract—Palmprint is a unique and reliable biometric charac-teristic with high usability. With the ...
Palmprints have been widely studied for biometric recognition for many years. Traditionally, a white...
Palmprint identification is the measurement of palmprint features for recognizing the identity of a ...
International audienceIn the contemporary period, significant attention has been focused on the pros...
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