Nowadays, researchers aim to enhance man-to-machine interactions by making
advancements in several domains. Facial emotion recognition (FER) is one such domain in …

Binarization of document images still attracts the researchers especially when degraded
document images are considered. This is evident from the recent Document Image …

Numeral recognition is treated as a benchmark research problem as this is a basic module
for designing a comprehensive optical character recognition system. In this context …

Outlier detection is an important research area in the field of machine learning and data
science. The presence of outliers in a dataset limits its true usefulness in a real-life scenario …

Partial differential equations have recently been established as a viable framework for
image processing, particularly for image binarization. One drawback of this framework is the …

Document image binarization is the process in which pixels in a document image are
classified into two groups—foreground and background. This process becomes challenging …

In this chapter, we aim to aid the development of Cyber-Physical Systems (CPS) in
automated understanding of events and activities in various applications of video …

Outlier detection is an important requirement in data mining and machine learning. When
data mining and machine learning algorithms are applied on the datasets with outliers, it …

Documents often get affected by noise due to various issues like casual handling occurred
during storing, or image acquisition processes. These noises not only affect the quality of the …

Object detection serves as a significant step in improving performance of complex
downstream computer vision tasks. It has been extensively studied for many years now and …