Twenty Years of Document Image Analysis in PAMI
By George Nagy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
607 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/ce3b569e18670f6c10e61aa9a8bda7c30fd37411
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Richard Zanibbi
- Dorothea Blostein
- Andrea Vedaldi
- Raghavan Manmatha
- Andrew Zisserman
- Anand Mishra
- Konstantinos G. Derpanis
Citations in the corpus
- Word spotting for historical documents (2007, background): “Nagy [19] discusses papers published in PAMI on document analysis during the last 20 years.”
- A survey on instance segmentation: state of the art (2020, background): “Its origins can be traced to automated classification approaches [8-21].”
- Recognition and retrieval of mathematical expressions (2011, background): “ument recognition, perhaps the most well-known example of post-processing is the use of dictionaries and n-grams to refine preliminary OCR results obtained for individual characters [107,115].”
- Evaluation of deep convolutional nets for document image classification and retrieval (2015, methodology): “The selection of categories was guided by earlier work on document categorization [19], and also by the range of categories present in SmallCDIP.”
- Detecting Unknown Network Attacks Using Language Models (2006, methodology): “As early as mid-sixties, character n-grams were used for error correction in optical character recognition (41).”
- Language models for detection of unknown attacks in network traffic (2007, methodology): “As early as mid-sixties, character n-grams were used for error correction in optical character recognition [29].”
- OCR-VQA: Visual Question Answering by Reading Text in Images (2019, background): “Optical character recognition (OCR) is a historically well-studied problem in the literature [17].”
- Rosetta: Large Scale System for Text Detection and Recognition in Images (2018, unknown): “[23] for some examples).”
- A comprehensive survey of mostly textual document segmentation algorithms since 2008 (2017, background): “Many other algorithms have been presented since then and surveys have been done in 2000 [4] and in 2003 [5].”