Bidirectional aggregated features fusion from CNN for palmprint recognition
Bidirectional aggregated features fusion from CNN for palmprint recognition is a scholarly work, published in 2018 in ''International Journal of Biometrics''. The main subjects of the publication include political representation, encoding, convolutional neural network, multispectral image, ENCODE, fusion, artificial intelligence, computer vision, biometrics, matching, pattern recognition, and computer science. The authors present a novel bidirectional aggregated features representation from convolutional neural networks (CNNs) with score-level fusion for palmprint recognition.