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A tutorial review on entropy-based handcrafted feature extraction for information fusion
(2018-05-01)
Entropy (H) is the main subject of this article, concisely written to serve as a tutorial introducing two feature extraction (FE) methods for usage in digital signal processing (DSP) and pattern recognition (PR). The theory, ...
Reconhecimento de emoções na fala a partir da extração manual de características com validação baseada na engenharia paraconsistente
(Universidade Estadual Paulista (Unesp), 2022-02-24)
Speech Emotion Recognition (SER) pode ser definida como a maneira automatizada de identificar o estado emocional de um locutor a partir da sua voz. Dentre as metodologias encontradas na literatura para viabilizar o SER, ...
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
An eye disease affects the entire sensory operation, and an unrecognised and untreated eye disease may lead to loss of vision. The proposed work aims to develop an automated age-related macular degeneration (AMD) detection ...
CNN supported framework for automatic extraction and evaluation of dermoscopy images
Skin Cancer is one of the acute diseases listed under top 5 groups in 2020 report of World Health Organisation. This research aims to propose a Convolutional Neural Network framework to extract and evaluate the suspicious ...
Gender Classification from NIR Images by Using Quadrature Encoding Filters of the Most Relevant Features
(Institute of Electrical and Electronics Engineers Inc., 2019)
In the past few years, accuracy in determining gender from iris images has increased significantly, approaching levels that make novel applications of this biometric technology feasible. In this paper, we report the gender ...
Deep Texture Features for Robust Face Spoofing Detection
(2017-12-01)
Biometric systems are quite common in our everyday life. Despite the higher difficulty to circumvent them, nowadays criminals are developing techniques to accurately simulate physical, physiological, and behavioral traits ...
DEEP FEATURES EXTRACTION FOR ROBUST FINGERPRINT SPOOFING ATTACK DETECTION
(Sciendo, 2019-01-01)
Biometric systems have been widely considered as a synonym of security. However, in recent years, malicious people are violating them by presenting forged traits, such as gelatin fingers, to fool their capture sensors ...
ResNet18 Supported Inspection of Tuberculosis in Chest Radiographs With Integrated Deep, LBP, and DWT Features
The lung is a vital organ in human physiology and disease in lung causes various health issues. The acute disease in lung is a medical emergency and hence several methods are developed and implemented to detect the lung ...
Efficient transfer learning for robust face spoofing detection
(2018-01-01)
Biometric systems are synonym of security. However, nowadays, criminals are violating them by presenting forged traits, such as facial photographs, to fool their capture sensors (spoofing attacks). In order to detect such ...
Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images
(2021-03-15)
Classification of histology images is a task that has been widely explored on recent computer vision researches. The most studied approach for this task has been the application of deep learning through a convolutional ...