Infrared thermography (IRT) has met an extensive popularity among the non-destructive
technologies for building diagnostics, especially with the increasing concerns of energy …

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

This paper presents a novel iterative deep learning framework and applies it to document
enhancement and binarization. Unlike the traditional methods that predict the binary label of …

Document image enhancement and binarization methods are often used to improve the
accuracy and efficiency of document image analysis tasks such as text recognition …

Although multispectral imaging (MSI) of cultural heritage, such as manuscripts, documents
and artwork, is becoming more popular, a variety of approaches are taken and methods are …

Multispectral imaging allows for analysis of images in multiple spectral bands. Over the past
three decades, airborne and satellite multispectral imaging have been the focus of extensive …

The identification of coal gangue is of great significance for its intelligent separation. To
overcome the interference of visible light, we propose coal gangue recognition based on …

Degraded images commonly exist in the general sources of character images, leading to
unsatisfactory character recognition results. Existing methods have dedicated efforts to …

A key aspect of handwritten document examination is to investigate whether some portion of
the text was modified, altered or forged with a different pen. This paper demonstrates the use …

Constructing high-quality character image datasets is challenging because real-world
images are often affected by image degradation. There are limitations when applying current …