A systematic review of machine-vision-based leather surface defect inspection

Z Chen, J Deng, Q Zhu, H Wang, Y Chen - Electronics, 2022 - mdpi.com
Machine-vision-based surface defect inspection is one of the key technologies to realize
intelligent manufacturing. This paper provides a systematic review on leather surface defect …

Classification and Grading of Okra-ladies finger using Deep Learning

MM Raikar, SM Meena, C Kuchanur, S Girraddi… - Procedia computer …, 2020 - Elsevier
Okra (Hibiscus esculentus) is a fruit/vegetable crop commonly known as lady's finger,
Gumbo, Bhindi or gombo. The grading for Okra is performed to enable pricing …

OCR-nets: variants of pre-trained CNN for Urdu handwritten character recognition via transfer learning

MA KO, S Poruran - Procedia computer science, 2020 - Elsevier
Deep Convolutional neural networks (CNN) have been among the utmost competitive
neural network architectures and have set the state-of-the-art in various fields of computer …

A systematic literature review on face morphing attack detection (mad)

MO Kenneth, BA Sulaimon, SM Abdulhamid… - Illumination of Artificial …, 2022 - Springer
Morphing attacks involve generating a single artificial facial photograph that represents two
distinct qualities and utilizing it as a reference photograph on a document. The high quality …

Comparative study on deep-learning-based leather surface defect identification

Z Chen, D Xu, J Deng, Y Chen… - Measurement Science and …, 2023 - iopscience.iop.org
Detecting leather surface defects has become an important subject in industrial inspections
and attracted significant attention as a challenging task. Traditional image processing …

Detection and localization of defects on natural leather surfaces

YS Gan, ST Liong, D Zheng, Y Xia, S Wu, M Lin… - Journal of Ambient …, 2023 - Springer
Defects that appear on a leather surface may be the result of natural variations or poor
handling during the manufacturing process. Visual inspection in the factory is one of the …

Ensemble convolutional neural networks with knowledge transfer for leather defect classification in industrial settings

M Aslam, TM Khan, SS Naqvi, G Holmes… - IEEE Access, 2020 - ieeexplore.ieee.org
Leather defect analysis is important for leather quality grading which directly effects the
leather exports. Automated leather sample classification is vital due to slow and subjective …

Vision based leather defect detection: a survey

M Jawahar, LJ Anbarasi, S Geetha - Multimedia Tools and Applications, 2023 - Springer
Increasing consumer quality awareness and increase in consumer wealth drives the market
demand for high quality leather and leather products. Reliable and effective detection and …

Digital microscopic image sensing and processing for leather species identification

A Varghese, S Jain, AA Prince… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Leather is a durable material well-known for its fashion, style, and versatility. Identifying the
animal species from which leather originated is necessary in leather quality-check, fraud …

Learning species-definite features from digital microscopic leather images

A Varghese, M Jawahar, AA Prince - Expert Systems With Applications, 2023 - Elsevier
In the leather industry, identifying species of leather holds a significant step toward
consistent global leather trade. Intertwining image processing and a learning algorithm with …