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A review of convolutional neural network applied to fruit image processing
(2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
Writer verification based on simple graphemes and extreme learning machine approaches
(2020)
Traditional literature presents complex biometric sources, descriptors, and classifiers to solve the writer's verification problem. The simple graphemes have been studied recently considering classifiers such as multilayer ...
The extreme learning machine algorithm for classifying fingerprints
(2020)
Fingerprint recognition is the most employed bio-metric method for identification and verification purposes. Fingerprint images are classified into five categories according to the morphology of their ridges, which decreases ...
Individuals identification based on palm vein matching under a parallel environment
(2019)
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. ...
Using heaps on GPU
(2022)
Nowadays, searching algorithms are a key component in modern computer science applications. However, traditional approaches of exact search techniques are practicallyan unfeasible solution with the rise of data in ...
Fingerprint classification with the extreme learning machine algorithm for multilayer perceptron
(2022)
Fingerprint classification comes to be a relevant guarantee for efficient as well as accurate fingerprint identification, in particular in the case of dealing with one-to-many fingerprint identification. Nevertheless, owing ...
Off-line writer verification based on small segments of handwritten text and convolutional neural networks
(2022)
This paper proposes a new method for writer identification based on small fragments of handwritten text randomly obtained from a paragraph. The main contribution of this work is to show that small fragments carry enough ...
Towards the generation of synthetic images of palm vein patterns: a review
(2023)
With the recent success of computer vision and deep learning, remarkable progress has been achieved on
automatic personal recognition using vein biometrics. However, collecting large-scale real-world training
data for ...
Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification
(2019)
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein ...
Generating style-based palm vein synthetic images for the creation of large-scale datasets
(2021)
Individuals recognition through their biometric traits is an essential component of modern society. The recent literature includes several works based on palm vein recognition for individual identification, being a very ...