A comprehensive overview of biometric fusion
The performance of a biometric system that relies on a single biometric modality (eg,
fingerprints only) is often stymied by various factors such as poor data quality or limited …
fingerprints only) is often stymied by various factors such as poor data quality or limited …
A survey on ear biometrics
Recognizing people by their ear has recently received significant attention in the literature.
Several reasons account for this trend: first, ear recognition does not suffer from some …
Several reasons account for this trend: first, ear recognition does not suffer from some …
A fuzzy rank-based ensemble of CNN models for classification of cervical cytology
Cervical cancer affects more than 0.5 million women annually causing more than 0.3 million
deaths. Detection of cancer in its early stages is of prime importance for eradicating the …
deaths. Detection of cancer in its early stages is of prime importance for eradicating the …
Discriminant correlation analysis: Real-time feature level fusion for multimodal biometric recognition
M Haghighat, M Abdel-Mottaleb… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Information fusion is a key step in multimodal biometric systems. The fusion of information
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
can occur at different levels of a recognition system, ie, at the feature level, matching-score …
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays
Novel Coronavirus 2019 disease or COVID-19 is a viral disease caused by severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has …
[HTML][HTML] A survey of identity recognition via data fusion and feature learning
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …
variety of applications put forward an urgent demand for user and device identity …
Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail
H Heidari, A Chalechale - Expert Systems with Applications, 2022 - Elsevier
This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …
A multi-stage framework for covid-19 detection and severity assessment from chest radiography images using advanced fuzzy ensemble technique
Chest radiography (CXR) is a popular imaging modality for screening lung abnormalities. It
plays a vital role in monitoring disease progression, allocating limited medical resources …
plays a vital role in monitoring disease progression, allocating limited medical resources …
Multimodal biometrics: Weighted score level fusion based on non-ideal iris and face images
The iris and face are among the most promising biometric traits that can accurately identify a
person because their unique textures can be swiftly extracted during the recognition …
person because their unique textures can be swiftly extracted during the recognition …
Multimodal biometric cryptosystem for human authentication using fingerprint and ear
PS Chanukya, TK Thivakaran - Multimedia Tools and Applications, 2020 - Springer
The multimodal biometrics is mainly used for the purpose of person certification and proof.
Lot of biometrics is used for human authentication. In which ear and fingerprint are efficient …
Lot of biometrics is used for human authentication. In which ear and fingerprint are efficient …