[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …
Computational intelligence in eye disease diagnosis: a comparative study
SVM Kumar, R Gunasundari - Medical & Biological Engineering & …, 2023 - Springer
In recent years, eye disorders are an important health issue among older people. Generally,
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …
Deblurring of noisy iris images in iris recognition
Iris recognition used the iris features to verify and identify the identity of human. The iris has
many advantages such as stability over time, easy to use and high recognition accuracy …
many advantages such as stability over time, easy to use and high recognition accuracy …
Sub-iris technique for non-ideal iris recognition
Iris recognition has become one of the most prominent biometrics due to its high recognition
accuracy, and it is suitable for the verification and identification systems. Most iris recognition …
accuracy, and it is suitable for the verification and identification systems. Most iris recognition …
Specular reflection removal using morphological filtering for accurate iris recognition
Specular reflection is the brightest point existing in the iris image. The light source used for
iris image acquirement and reflective surface of the cornea are the major causes of specular …
iris image acquirement and reflective surface of the cornea are the major causes of specular …
[HTML][HTML] Development of a Virtual Environment for Rapid Generation of Synthetic Training Images for Artificial Intelligence Object Recognition
C Wang, L Tinsley, B Honarvar Shakibaei Asli - Electronics, 2024 - mdpi.com
In the field of machine learning and computer vision, the lack of annotated datasets is a
major challenge for model development and accuracy improvement. Synthetic data …
major challenge for model development and accuracy improvement. Synthetic data …
Specular reflection removal techniques for noisy and non-ideal iris images: Two new approaches
M Amir Sohail, C Ghosh, S Mandal… - … Conference on Frontiers …, 2022 - Springer
Iris recognition is one of the most consistent and unique biometric-based recognition
systems. Iris-based authentication has been a challenging problem especially for noisy and …
systems. Iris-based authentication has been a challenging problem especially for noisy and …
A fast specular reflection removal based on pixels properties method
Iris recognition has been around for many years due to an extensive research on the
uniqueness of human iris. It is well known that the iris is not similar to each other which …
uniqueness of human iris. It is well known that the iris is not similar to each other which …
Fast and accurate iris segmentation methods using LoG filters
For visible wavelengths, a new method is introduced using truncated LoG filter with specific
preprocessing to deal with challenges of eyebrows, illumination variation, eyelid masking …
preprocessing to deal with challenges of eyebrows, illumination variation, eyelid masking …
Enhancement of the iris-texture by removal of specular reflections for an accurate iris segmentation
In the area of authentication using biometrics, Iris match is considered as one of the most
efficient method. One of the challenges to be addressed in such method is Specular …
efficient method. One of the challenges to be addressed in such method is Specular …