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Course Evaluation Generator (Ceg): An Automated Academic Advising System with Optical Character Recognition
2018
International Journal of Technology and Engineering Studies
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Using the ISO 25010, the weighted mean for accuracy is 3.14 that user-respondents have strongly agreed to the correctness of generating courses to offer for a student. ...
This research aims to explain the requirements of constructing software intended for the teaching department of ACLC College of Butuan (ACB) to optimize the course selection process, lessen the academic ...
Monalee A. dela Cerna for the guidance and sincere suggestions to make this study more interesting and challenging; 2. ...
doi:10.20469/ijtes.4.10003-5
fatcat:cgip6zs5lrdovl34ey3fe2rauu
Automatic Extraction of Linguistic Data from Digitized Documents
2013
Proceedings of the annual meeting of the Berkeley Linguistics Society
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In lieu of an abstract, here is a brief excerpt:This paper presents a system for automatically extracting linguistic data from digitized linguistic documents using a combination of existing software packages ...
The system is designed to leverage existing resources in online digital libraries in order to bootstrap the creation of large, multi-lingual linguistic corpora, which can then be used to conduct data-driven ...
In order to evaluate the feasibility of this approach, we conducted an experiment on a controlled parallel corpus taken from the Tatoeba database. ...
doi:10.3765/bls.v39i1.3886
fatcat:u6i5xs3a7jgcdfdic3zbhcu5gq
OCR based slide retrieval
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
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Retrieval experiments performed on a corpus of 570 slides (26 presentations) gathered at a workshop show that performance obtained with the OCR transcriptions are close to those obtained by extracting ...
Since the most suitable acquisition technique, in such a context, is the use of a framegrabber (a device capturing as images the slides displayed on a screen), the slides must be transcribed with an Optical ...
The text result is selected from all the generated hypotheses based on a confidence value computed for each recognized string based on langage modeling and OCR recognition statistics. ...
doi:10.1109/icdar.2005.169
dblp:conf/icdar/DaddaouaOV05
fatcat:ls7o45hddjgrfjjqil64hhqbni
Reusing the Model and Components of an IIR Study for Perceived Effects of OCR Quality Change
2022
Zenodo
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However, the research design and its general model could be utilized in the future to study the effects of OCR quality on professional settings entailing historians performing naturalistic phases of their ...
However, it remains challenging to measure how the user's subjective perception is affected by the amount of OCR noise remaining in the documents. ...
OCR Software and OCR Quality The baseline OCR for Uusi Suometar was performed using a series of ABBYY FineReader® products. ...
doi:10.5281/zenodo.6513586
fatcat:cg673qdtdbgsnlfav5kw6btt3m
Document Image Quality Assessment: A Brief Survey
2013
2013 12th International Conference on Document Analysis and Recognition
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This paper provides a brief survey of research on the topic of document image quality assessment. We first present a detailed analysis of the types and sources of document degradations. ...
of degradations and develop reliable methods for estimating the levels of degradations. ...
When the consumer of a document image is machine, OCR software for example, document image quality may be defined as the OCR accuracy and DIQA metrics are factors that can be used to reliably predict OCR ...
doi:10.1109/icdar.2013.148
dblp:conf/icdar/YeD13
fatcat:f7imuvlkozdr5ha4qdyqcuv37e
A survey on Arabic character segmentation
2012
International Journal on Document Analysis and Recognition
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This is due to both the cursive nature of Arabic writing in both printed and handwritten forms and the scarcity of Arabic databases and dictionaries. ...
This survey presents the description of the Arabic script characteristics with an overview on OCR systems and a comprehensive review mainly on off-line printed Arabic character segmentation techniques. ...
To the best knowledge of the author, very few references are available which provide some evaluation of Arabic OCR software. ...
doi:10.1007/s10032-012-0188-6
fatcat:w5hszp2ksbcb3kw627yw2cwehy
The OCRopus open source OCR system
2008
Document Recognition and Retrieval XV
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This paper describes the current status of the system, its general architecture, as well as the major algorithms currently being used for layout analysis and text line recognition. ...
Above, we saw generally how the processing steps of the OCRopus system fit together. Let us now look at each of the processing steps in more detail. ...
of the OCR engine to generate this markup. ...
doi:10.1117/12.783598
dblp:conf/drr/Breuel08
fatcat:k4cdglpamvee7ajcmrarop66bq
Extensible System for Optical Character Recognition of Maintenance Documents
2018
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
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In the course of maintenance and operations, equipment operators and manufacturers frequently generate large volumes of paper documents. ...
To implement analytics or automated monitoring, these documents must later be converted to digital copies, which can be ingested into a database. ...
This generally requires scanning a document to produce an image, using OCR to produce a digital copy of the text, in an appropriate format for a database. ...
doi:10.36001/phmconf.2018.v10i1.480
fatcat:bribomxkkbfzjnhe4sygmaz65e
AutoDBT: A Framework for Automatic Testing of Web Database Applications
[chapter]
2004
Lecture Notes in Computer Science
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AutoDBT uses the model along with the test criteria to generate test cases for functional testing of the application. ...
AutoDBT automatically generates a guard query for each test case. The guard determines whether the test can be performed given the current state of the database. ...
In particular they show how to quickly generate, in parallel, a large database that obeys certain statistical properties among the records generated. ...
doi:10.1007/978-3-540-30480-7_20
fatcat:aemcdgam2vgdvltm6rc6jchcam
An automatic linking service of document images reducing the effects of OCR errors with latent semantics
2010
Proceedings of the 2010 ACM Symposium on Applied Computing - SAC '10
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This paper presents a novel approach to support the automatic generation of relationships among document images by exploiting Latent Semantic Indexing (LSI) and Optical Character Recognition (OCR). ...
Results show the feasibility of LinkDI relating OCR output with high degradation. ...
the funding support. ...
doi:10.1145/1774088.1774092
dblp:conf/sac/NetoGBPM10
fatcat:xqujwg56qvhgrm7zev6467qfna
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results?
2020
SN Computer Science
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In this context, there is a trend already in motion to replace convolutional pooling layers for a stride operation in the previous layer to save time. ...
In this work, we evaluate the speedup of such an approach and how it trades off with accuracy loss in multiple computer vision domains, deep neural architectures, and datasets. ...
On behalf of all authors, the corresponding author states that there is no conflict of interest. ...
doi:10.1007/s42979-020-00295-9
fatcat:shesvjh4c5bf7fdhpyyumyjxim
Survey of Automatic Spelling Correction
2020
Electronics
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Although each article contains a brief introduction to the topic, there is a lack of work that would summarize the theoretical framework and provide an overview of the approaches developed so far. ...
The survey describes selected approaches in a common theoretical framework based on Shannon's noisy channel. A separate section describes evaluation methods and benchmarks. ...
The two following evaluation methodologies are used to evaluate spelling: • Mean reciprocal rank: A statistical measure for evaluating any process that produces a list of possible responses to a sample ...
doi:10.3390/electronics9101670
fatcat:pgf65dpwp5b2xc2hc6xxf5pplm
Information Retrieval Based on OCR Errors in Scanned Documents
2003
2003 Conference on Computer Vision and Pattern Recognition Workshop
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The proposed algorithm consists of two basic steps. In the first step, we apply editing operations on OCR words that generate a collection of error-grams and correction rules. ...
In this paper, we describe an approach that integrates the detection of errors in scanned texts without relying on a lexicon, and this detection is integrated in the research process. ...
For example, if the word "light" is a term query, it is statistically uncertain because OCR confuses "i" with "l" and "c" with "e" etc. Thus, we generate 32 words. ...
doi:10.1109/cvprw.2003.10020
dblp:conf/cvpr/FataichaCNS03
fatcat:fmzhvw2bz5aepipgucu3xa5nsy
Optical Character Recognition
[chapter]
2016
Practical Laboratory Automation
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The first OCR machines appear
First generation OCR
Second generation OCR
Third generation OCR
OCR to the people
Table 2 : 2 Evaluation of feature extraction techniques. ...
In statistical classification a probabilistic approach to recognition is applied. ...
doi:10.1002/9783527801954.app2
fatcat:i7yhlctvwnh23fvgfyqubxsvhm
optical character recognition
[chapter]
2000
Computer Science and Communications Dictionary
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The first OCR machines appear
First generation OCR
Second generation OCR
Third generation OCR
OCR to the people
Table 2 : 2 Evaluation of feature extraction techniques. ...
In statistical classification a probabilistic approach to recognition is applied. ...
doi:10.1007/1-4020-0613-6_12944
fatcat:6gd2qmtoxbdvjebz3mc6yeizia
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