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 …
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 …
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 …
recognition from the street view image, and the scene character consists of both text and …
Illumination and motion-based video enhancement for night surveillance
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
extraction from scholarly figures. In order to fill this gap, we have defined a generic pipeline …