Scene text detection and segmentation based on cascaded convolution neural networks

Y Tang, X Wu - IEEE transactions on Image Processing, 2017 - ieeexplore.ieee.org
Scene text detection and segmentation are two important and challenging research
problems in the field of computer vision. This paper proposes a novel method for scene text …

Scene text detection using superpixel-based stroke feature transform and deep learning based region classification

Y Tang, X Wu - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
Scene text detection is a crucial step in end-to-end scene text recognition, a greatly
challenging problem in computer vision. This paper proposes a novel scene text detection …

Improved firefly algorithm-based optimized convolution neural network for scene character recognition

LT Akin Sherly, T Jaya - Signal, Image and Video Processing, 2021 - Springer
The most common and challenging issues in image recognition are scene character
recognition from the street view image, and the scene character consists of both text and …

Illumination and motion-based video enhancement for night surveillance

J Li, SZ Li, Q Pan, T Yang - 2005 IEEE International Workshop …, 2005 - ieeexplore.ieee.org
This work presents a context enhancement method of low illumination video for night
surveillance. A unique characteristic of the algorithm is its ability to extract and maintenance …

Survey and empirical comparison of different approaches for text extraction from scholarly figures

F Böschen, T Beck, A Scherp - Multimedia Tools and Applications, 2018 - Springer
Different approaches have been proposed in the past to address the challenge of extracting
text from scholarly figures. However, until recently, no comparative evaluation of the different …

Dynamic features based stroke recognition system for signboard images of Gurmukhi text

JK Bains, S Singh, A Sharma - Multimedia Tools and Applications, 2021 - Springer
The computation of correct features is an essential phase for efficient data representation
and benchmarked accuracy in text recognition systems. The offline text lacks dynamic …

Arabic and Latin scene text recognition by combining handcrafted and deep-learned features

M Tounsi, I Moalla, U Pal, AM Alimi - Arabian Journal for Science and …, 2022 - Springer
Recognizing text within camera-captured images has been a very significant research topic
for the last decades. In this paper, we intend to recognize Latin/Arabic text in natural scenes …

Multiorientation scene text detection via coarse-to-fine supervision-based convolutional networks

X Wang, Z Xia, J Peng, X Feng - Journal of Electronic Imaging, 2018 - spiedigitallibrary.org
Text detection in natural scenes has long been an open challenge and a lot of approaches
have been presented, in which the deep learning-based methods have achieved state-of …

A new method for Arabic text detection in natural scene image based on the color homogeneity

H Gaddour, S Kanoun, N Vincent - … 2016, Trois-Rivières, QC, Canada, May …, 2016 - Springer
Text detection in natural scene image is still open research topics. Particularly, for Arabic
text, a very few studies have been proposed. In this paper, we propose a method for Arabic …

A comparison of approaches for automated text extraction from scholarly figures

F Böschen, A Scherp - … , MMM 2017, Reykjavik, Iceland, January 4-6, 2017 …, 2017 - Springer
So far, there has not been a comparative evaluation of different approaches for text
extraction from scholarly figures. In order to fill this gap, we have defined a generic pipeline …