Automatic image analysis is a crucial component of many intelligent systems designed for
high-level understanding of documents. Most document image understanding systems are …

In recent times, text detection in the wild has significantly raised its ability due to tremendous
success of deep learning models. Applications of computer vision have emerged and got …

Scene text detection is an important step of scene text recognition system and also a
challenging problem. Different from general object detections, the main challenges of scene …

Recent adversarial learning research has achieved very impressive progress for modelling
cross-domain data shifts in appearance space but its counterpart in modelling cross-domain …

Scene text detection is an important step in the scene text reading system. The main
challenges lie in significantly varied sizes and aspect ratios, arbitrary orientations, and …

In this paper, we propose an unconventional approach for text detection in natural images.
Both global and local cues are taken into account for localizing text lines in a coarse-to-fine …

The requirement of large amounts of annotated images has become one grand challenge
while training deep neural network models for various visual detection and recognition …

Recently, scene text detection has become an active research topic in computer vision and
document analysis, because of its great importance and significant challenge. However, vast …

The prevalent scene text detection approach follows four sequential steps comprising
character candidate detection, false character candidate removal, text line extraction, and …

State-of-the-art methods have achieved impressive performances on multi-oriented text
detection. Yet, they usually have difficulty in handling curved and dense texts, which are …