Camera-based analysis of text and documents: a survey
By Jian Liang, David S. Doermann, Huiping Li. International Journal of Document Analysis and Recognition (IJDAR), 2005
485 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/82b6f95e805a92887f8efccf5a0dc8d5783676f5
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
Citations in the corpus
- Scene text detection and recognition: recent advances and future trends (2015, background): “Different from the previous review papers [21–25], this article provides a comprehensive survey on scene detection and recognition in static images, with a special emphasis on the latest advances in these areas.”
- Symmetry-based text line detection in natural scenes (2015, unknown): “For comprehensive surveys, refer to [19, 44, 50].”
- Detecting texts of arbitrary orientations in natural images (2012, background): “Comprehensive surveys can be found in [15, 19].”
- A Unified Framework for Multioriented Text Detection and Recognition (2014, background): “Comprehensive surveys on text detection and recognition in static images and videos can be found in [43]–[45].”
- Text Detection and Recognition in Imagery: A Survey (2015, background): “Text is often produced in a consistent and distinguishable color so that it contrasts with the background [40].”
- A Hybrid Approach to Detect and Localize Texts in Natural Scene Images (2011, background): “…the contents in images, text information has inspired great interests, since it can be easily understood by both human and computer, and finds wide applications such as license plate reading, sign detection and translation, mobile text recognition, content-based web image search, and so on [19].”
- TextProposals: A text-specific selective search algorithm for word spotting in the wild (2016, background): “[8] have published corresponding surveys of early works on camera-based document and scene text analysis.”
- Recognizing Text with Perspective Distortion in Natural Scenes (2013, methodology): “A comprehensive review of text extraction methods is provided in [8].”
- Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions (2011, methodology): “Text detection has been considered in many recent studies and numerous methods are reported in the literature [9, 10, 11, 12, 13, 14, 15, 16, 17].”
- Detecting text in natural scenes with stroke width transform (2010, background): “The problem of text detection was considered in a number of recent studies [1, 2, 3, 4, 5, 6, 7].”