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Text detection and recognition in imagery: A survey
This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …
performance of text detection and recognition research in color imagery. It summarizes the …
Text detection, tracking and recognition in video: a comprehensive survey
The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …
source of sensory data in our lives. Text is a prominent and direct source of information in …
Urdu-text detection and recognition in natural scene images using deep learning
Urdu text is a cursive script and belongs to a non-Latin family of other cursive scripts like
Arabic, Chinese, and Hindi. Urdu text poses a challenge for detection/localization from …
Arabic, Chinese, and Hindi. Urdu text poses a challenge for detection/localization from …
Stroke-based scene text erasing using synthetic data for training
Scene text erasing, which replaces text regions with reasonable content in natural images,
has drawn significant attention in the computer vision community in recent years. There are …
has drawn significant attention in the computer vision community in recent years. There are …
Gradient vector flow and grou**-based method for arbitrarily oriented scene text detection in video images
Text detection in videos is challenging due to low resolution and complex background of
videos. Besides, an arbitrary orientation of scene text lines in video makes the problem more …
videos. Besides, an arbitrary orientation of scene text lines in video makes the problem more …
Scene text detection in natural images: a review
Scene text detection is attracting more and more attention and has become an important
topic in machine vision research. With the development of mobile IoT (Internet of things) and …
topic in machine vision research. With the development of mobile IoT (Internet of things) and …
Cursive character recognition in natural scene images using a multilevel convolutional neural network fusion
The accuracy of current natural scene text recognition algorithms is limited by the poor
performance of character recognition methods for these images. The complex backgrounds …
performance of character recognition methods for these images. The complex backgrounds …
Recent advances in video based document processing: a review
Extraction and recognition of text present in video has become a very popular research area
in the last decade. Generally, text present in video frames is of different size, orientation …
in the last decade. Generally, text present in video frames is of different size, orientation …
A new method for arbitrarily-oriented text detection in video
Text detection in video frames plays a vital role in enhancing the performance of information
extraction systems because the text in video frames helps in indexing and retrieving video …
extraction systems because the text in video frames helps in indexing and retrieving video …
A multi-layer holistic approach for cursive text recognition
Urdu is a widely spoken and narrated language in several South-Asian countries and
communities worldwide. It is relatively hard to recognize Urdu text compared to other …
communities worldwide. It is relatively hard to recognize Urdu text compared to other …