Image segmentation techniques: statistical, comprehensive, semi-automated analysis and an application perspective analysis of mathematical expressions

Sakshi, V Kukreja - Archives of computational Methods in Engineering, 2023 - Springer
Segmentation has been a rooted area of research having diverse dimensions. The roots of
image segmentation and its associated techniques have supported computer vision, pattern …

A retrospective study on handwritten mathematical symbols and expressions: Classification and recognition

V Kukreja - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Context: Many scientific and technical literature documents contain MSs and MEs that are
more challenging to be recognized by computers than plain text. The recognition of HMSE …

Machine learning and non-machine learning methods in mathematical recognition systems: Two decades' systematic literature review

Sakshi, V Kukreja - Multimedia Tools and Applications, 2024 - Springer
Tools based on machine learning (ML) have seen widespread application in the prediction
and categorization of mathematical symbols and phrases. The purpose of this work is to …

Offline handwritten mathematical expression recognition based on YOLOv5s

F Li, H Fang, D Wang, R Liu, Q Hou, B **e - The Visual Computer, 2024 - Springer
The error accumulation in traditional offline handwritten mathematical expression
recognition (OHMER) becomes challenging, because of the two-dimensional structure and …

Online Handwritten Mathematical Expression Solver Using Artificial Neural Network

K Tank - 2021 2nd Global Conference for Advancement in …, 2021 - ieeexplore.ieee.org
Mathematics plays a predominant role in each of our lives. When it comes to solving a
mathematical expression, we are highly dependent on the calculators that are available in …

Colorizing Black and White Images Using Deep ConvNets and GANs

S Ahlawat, A Choudhary, C Wadhwa, H Joshi… - Proceedings of Data …, 2023 - Springer
In this paper, a technique to colorize black-and-white images combining both localized and
global features has been presented. The technique is based on Deep Convolutional Neural …