DRCDN: learning deep residual convolutional dehazing networks
S Zhang, F He - The Visual Computer, 2020 - Springer
Single image dehazing, which is the process of removing haze from a single input image, is
an important task in computer vision. This task is extremely challenging because it is …
an important task in computer vision. This task is extremely challenging because it is …
Person identification using fusion of iris and periocular deep features
A novel method for person identification based on the fusion of iris and periocular biometrics
has been proposed in this paper. The challenges for image acquisition for Near-Infrared or …
has been proposed in this paper. The challenges for image acquisition for Near-Infrared or …
A secure and efficient biometric template protection scheme for palmprint recognition system
The accuracy and security of a biometric system are the two sides of a coin. A biometric
system must be simple, flexible, efficient, and secure enough from unauthorized access …
system must be simple, flexible, efficient, and secure enough from unauthorized access …
IoT-enabled multimodal biometric recognition system in secure environment
A multimodal biometric recognition system on Internet of Things (IoT) with Blockchain
environments has been proposed in this article. This system distributes a decentralized …
environments has been proposed in this article. This system distributes a decentralized …
[HTML][HTML] Supervised contrastive learning and intra-dataset adversarial adaptation for iris segmentation
Z Zhou, Y Liu, X Zhu, S Liu, S Zhang, Y Li - Entropy, 2022 - mdpi.com
Precise iris segmentation is a very important part of accurate iris recognition. Traditional iris
segmentation methods require complex prior knowledge and pre-and post-processing and …
segmentation methods require complex prior knowledge and pre-and post-processing and …
A light iris segmentation network
Q Wang, X Meng, T Sun, X Zhang - The Visual Computer, 2022 - Springer
Iris segmentation plays a vital role in the iris recognition system. However, it faces many
challenges in non-ideal situations. To improve the iris segmentation performance for …
challenges in non-ideal situations. To improve the iris segmentation performance for …
Recent trends of ROI segmentation in iris biometrics: a survey
Segmentation in iris biometrics deals with the localisation of inner and outer boundaries of
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …
the iris and isolation of the region of interest (ROI) from the input eye image. The isolated …
Implementation of face recognition system using BioCryptosystem as template protection scheme
This paper has designed and implemented a secure face recognition system using novel
Bio-Cryptographic template protection schemes. The implementation of the proposed …
Bio-Cryptographic template protection schemes. The implementation of the proposed …
EmoSecure: Enhancing Smart Home Security With FisherFace Emotion Recognition and Biometric Access Control
The focus of smart homes is more inclined towards providing security and comfort to
residents rather than treating energy as the foremost concern. This paper proposes a novel …
residents rather than treating energy as the foremost concern. This paper proposes a novel …
Efficient iris recognition through curvelet transform and polynomial fitting
This paper presents a new feature descriptor for iris recognition. The descriptor makes use
of the wedge-shaped sub-bands of the curvelet transform, which allow it to cover the …
of the wedge-shaped sub-bands of the curvelet transform, which allow it to cover the …