Multimodal biometric systems have been widely applied in many real-world applications due
to its ability to deal with a number of significant limitations of unimodal biometric systems …

In this survey, we present a review of methods and resources for texture recognition,
presenting the most common techniques that have been used in the recent decades, along …

Automatic Offline Handwritten Signature Verification has been researched over the last few
decades from several perspectives, using insights from graphology, computer vision, signal …

One of the challenges in applying convolutional neural networks to automated optical
inspection is the lack of sufficient training data. In this paper we show that transfer learning …

Several practical difficulties arise when trying to apply deep learning to image-based
industrial inspection tasks: training datasets are difficult to obtain, each image must be …

Surface flaw inspection is of great importance for quality control in the field of manufacture.
In this paper, a novel surface flaw inspection algorithm is proposed based on adaptive …

In this paper, we propose a sensitive convolutional neural network which incorporates
sensitivity term in the cost function of Convolutional Neural Network (CNN) to emphasize on …

Monitoring the changes in forest cover has become an important tool for forest management
due to its impact on climate change, desertification, soil erosion, and flooding. The Zagros …

In the last decade, artificial intelligence has been revolutionized by deep learning,
outperforming human prediction on a wide range of problems. In particular Convolutional …

Classification of texture patterns with large scale variations poses a great challenge for
expert and intelligent systems. A pure learning approach addresses this issue by including …