Geological maps contain rich geological knowledge, such as faults, structures, minerals, etc.
Automatically and accurately recognition of geological symbols is the basis step for …

With the growth that social networks have experienced in recent years, it is entirely
impossible to moderate content manually. Thanks to the different existing techniques in …

Scene Text Recognition (STR) has become a popular and long-standing research problem
in computer vision communities. Almost all the existing approaches mainly adopt the …

Recognizing irregular text in natural images is a challenging task in computer vision. The
existing approaches still face difficulties in recognizing irregular text because of its diverse …

Aerodynamic forces of the Great Belt Bridge are mitigated using deep reinforcement
learning (DRL) based active flow control (AFC) techniques at a Reynolds number of 5× 1 0 5 …

Scene text recognition (STR) is a challenging task that requires large-scale annotated data
for training. However, collecting and labeling real text images is expensive and time …

In the actual world, when people go to a new location, they may have difficulties with
language, signboards, or other kinds of communication. People in the digital age utilize …

Most current approaches in the literature of scene text recognition train the language model
via a text dataset far sparser than in natural language processing, resulting in inadequate …

Classification of multilingual text is a difficult subject that has attracted a lot of interest lately.
This study compares various methods for language recognition and classification that make …

The method of scene text detection and recognition is useful in a variety of applications
ranging from multimedia retrieval, traffic monitoring, and navigation for visually impaired …