Tools, techniques, datasets and application areas for object detection in an image: a review
J Kaur, W Singh - Multimedia Tools and Applications, 2022 - Springer
Object detection is one of the most fundamental and challenging tasks to locate objects in
images and videos. Over the past, it has gained much attention to do more research on …
images and videos. Over the past, it has gained much attention to do more research on …
Text detection, recognition, and script identification in natural scene images: A Review
V Naosekpam, N Sahu - International Journal of Multimedia Information …, 2022 - Springer
Text in natural scene images plays a vital role in scene understanding. It contains a rich and
abundant amount of valuable semantic information useful in many applications such as …
abundant amount of valuable semantic information useful in many applications such as …
Icdar2019 robust reading challenge on multi-lingual scene text detection and recognition—rrc-mlt-2019
N Nayef, Y Patel, M Busta… - 2019 International …, 2019 - ieeexplore.ieee.org
With the growing cosmopolitan culture of modern cities, the need of robust Multi-Lingual
scene Text (MLT) detection and recognition systems has never been more immense. With …
scene Text (MLT) detection and recognition systems has never been more immense. With …
Icdar2017 robust reading challenge on multi-lingual scene text detection and script identification-rrc-mlt
Text detection and recognition in a natural environment are key components of many
applications, ranging from business card digitization to shop indexation in a street. This …
applications, ranging from business card digitization to shop indexation in a street. This …
Deep learning for Arabic NLP: A survey
The recent advances in deep learning (DL) have caused breakthroughs in many fields such
as computer vision, natural language processing (NLP) and speech processing. Many DL …
as computer vision, natural language processing (NLP) and speech processing. Many DL …
Script identification in natural scene image and video frames using an attention based convolutional-LSTM network
Script identification plays a significant role in analysing documents and videos. In this paper,
we focus on the problem of script identification in scene text images and video scripts …
we focus on the problem of script identification in scene text images and video scripts …
Scene text detection and recognition with advances in deep learning: a survey
Scene text detection and recognition has become a very active research topic in recent
several years. It can find many applications in reality ranging from navigation for vision …
several years. It can find many applications in reality ranging from navigation for vision …
A multiplexed network for end-to-end, multilingual OCR
Recent advances in OCR have shown that an end-to-end (E2E) training pipeline that
includes both detection and recognition leads to the best results. However, many existing …
includes both detection and recognition leads to the best results. However, many existing …
Traditional to transfer learning progression on scene text detection and recognition: a survey
Many computer vision-based techniques utilize semantic information ie scene text present in
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
a natural scene for image analysis. Subsequently, in recent times researchers pay more …
ConvPatchTrans: A script identification network with global and local semantics deeply integrated
K Yang, J Yi, A Chen, J Liu, W Chen, Z Jin - Engineering Applications of …, 2022 - Elsevier
Abstract Optical Character Recognition (OCR) system serves the need of reading text from
images. Script identification that identifies the language of the text in the image is an …
images. Script identification that identifies the language of the text in the image is an …