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 …

One of the most important preliminary tasks in a transcription system of historical document
images is text line segmentation. Nevertheless, this task remains complex due to the …

Recognizing Arabic script is challenging for many reasons: The Arabic language is cursive
and morphologically rich. There is a high similarity between Arabic letters. Moreover, Arabic …

Recognizing texts in video is more complex than in other environments such as scanned
documents. Video texts appear in various colors, unknown fonts and sizes, often affected by …

History of science has taken a great turn after the evolution of Artificial Intelligence. Whole
world is taken part in Artificial Intelligence through different languages like Python, Java, R …

By adopting keystroke dynamics, authentication applications can integrate advanced identity
proofing technology for detecting fraud and prevent unauthorized access. However …

In order to reinforce the enrichment and exploitation of archival collections, a growing need
for computer-aided tools able to assist researchers, historians and archivists in historical …

Text line localization in document images is still considered an open research task. The
state-of-the-art methods in this regard that are only based on the classical image analysis …

Present study explores the application of game theory principles in neural networks by
focusing on strategic decision-making within Generative Adversarial Networks (GANs) and …

In this chapter, the authors have given a detailed review on optical character recognition.
Various methods are used in this field with different accuracy levels. Still there are some …