Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …

Over the past few years, there has been an exponential increase in the percentage of
people owning and using a smart phone. These devices have sensor-rich touchscreens that …

In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …

An accurate detection of soybean leaf disease in soybean field is essential for soybean
quality and the agricultural economy. Though many works have been done in identifying …

Systems based on deep neural networks have made a breakthrough in many different
pattern recognition tasks. However, the use of these systems with traditional architectures …

This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …

Computer aided diagnosis systems can provide non-invasive, low-cost tools to support
clinicians. These systems have the potential to assist the diagnosis and monitoring of …

This study proposes a hierarchical pattern recognition method for tourism demand
forecasting. The hierarchy consists of three tiers: the first tier recognizes the calendar pattern …

This article presents SVC-onGoing 1, an on-going competition for on-line signature
verification where researchers can easily benchmark their systems against the state of the …

With the widespread use of biometric recognition, several issues related to the privacy and
security provided by this technology have been recently raised and analysed. As a result …