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Mobile Application for Recognizing Text in Degraded Document Images Using Optical Character Recognition with Adaptive Document Image Binarization
2018
Journal of Image and Graphics
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Optical Character Recognition (OCR) is used to transform them into digital text. And, with the increasing computing capability and digital imaging of today's smartphones. ...
In this paper, we propose a mobile application that can recognize text in degraded document images using Tesseract as the OCR engine with Adaptive Document Image Binarization to improve the performance ...
Adaptive Document Image Binarization will be used as a preprocessing method to improve the accuracy of the OCR engine.
II. RELATED LITERATURE
A. ...
doi:10.18178/joig.6.1.44-47
fatcat:dwwu3dn4izdilk6jpdpoaziydu
Denoising Textual Images Using Local/Non-local Smoothing Filters: A Comparative Study
2012
2012 International Conference on Frontiers in Handwriting Recognition
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Experiments conducted on synthetic and real degraded document images illustrate the behaviour of the studied frameworks on the visual quality and even on the optical recognition accuracy rates. ...
Textual document image denoising is the main issue of this work. Therefore, we introduce a comparative study between two state-of-the-art denoising frameworks : local and non-local smoothing filters. ...
Perna-Malik In turn, the optical recognition accuracy rates are also proposed as an additional evaluation criteria. For instance, we give the OCR recognition rates before and after restoration. ...
doi:10.1109/icfhr.2012.198
dblp:conf/icfhr/DriraL12
fatcat:oh6oljzpw5b25hngobwjnqgpcy
Document Images Restoration by a New Tensor Based Diffusion Process: Application to the Recognition of Old Printed Documents
2009
2009 10th International Conference on Document Analysis and Recognition
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Such improvement leads to a noticeable improvement of the OCR system's accuracy proven through the comparison of OCR recognition rates before and after the diffusion process. ...
A visual quality improvement is thus achieved on these images. ...
We notice that optical character recognition takes great advantage of this improvement for the majority of the tested pages. ...
doi:10.1109/icdar.2009.109
dblp:conf/icdar/DriraLE09
fatcat:7z6samqzezewzmjbqakve5kuge
Punjabi Character Recognition Using Wavelet And Curvlet Techniques With Sift Algorithm
2016
Zenodo
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The handwritten characters have different orientations. Therefore the handwritten recognition of characters is challenging research area in the field of pattern recognition. ...
In this paper we are using both curve let and wavelet techniques to recognise the Punjabi characters and compare the results. ...
INTRODUCTION Optical character recognition (OCR) is process of automatic computer recognition of characters in optically scanned and digitized pages of text. ...
doi:10.5281/zenodo.56025
fatcat:bu6eqjolrrf55oi7kxmkujs57a
Fully Convolutional Network Based Ship Plate Recognition
2018
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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The recognition accuracy is improved with integrating the AIS (Automatic Identification System) information. ...
This paper proposes an effcient Fully Convolutional Network based Plate Recognition approach FCNPR, which uses a CNN (Convolutional Neural Network) to locate ships, then detects plate text lines with the ...
We use text line classification for license plate recognition, while their work focused on regulate characteristics angles to improve recognition accuracy. Lin et al. ...
doi:10.1109/smc.2018.00312
dblp:conf/smc/SunLMZZM18
fatcat:rhcirz4mvzehpknwe3wglex2yu
Improving the processing of machine vision images of robotic systems in the Arctic
2019
IOP Conference Series: Earth and Environment
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The binarized images were obtained using these algorithms and the results of binarized images recognition are compared by an optical character recognition system. ...
The use of unmanned vehicles in many industries in the Arctic provides an array of photo and video information. Accuracy of image analysis and pattern recognition is enhanced by image preprocessing. ...
in the article based on artificial neural networks, by "scrolling" binarized images through the optical character recognition system
Image binarization To separate the characters from the background ...
doi:10.1088/1755-1315/302/1/012061
fatcat:nv3rqwri7fhgncmelkpfxcmplm
An Analysis of Challenges in Character Recognition on Palm Leaf Manuscripts, and Their Solutions
2020
International journal of recent technology and engineering
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The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition. ...
Information was recorded and transmitted through the use of many traditional methods in ancient times using naturally available material like palm leaves, tree barks etc. which were found suitable for ...
[12] Segmentation-free optical character recognition for printed urdu text A segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition ...
doi:10.35940/ijrte.f8339.038620
fatcat:ob2r33c5b5ehbhm5yfgbup5soa
An Efficient New PDE-based Characters Reconstruction after Graphics Removal
2016
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR)
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After split overlapped characters and separates characters from graphics, characters are broken. ...
The coherency of the orientation of the tensors around missing parts overcomes the problem of image noises. ...
through the study of the optical character recognition accuracy rate. ...
doi:10.1109/icfhr.2016.0088
dblp:conf/icfhr/KessiLG16
fatcat:7lpaaju2yjepxg2sbogio3utji
Improvement of Image Binarization Methods Using Image Preprocessing with Local Entropy Filtering for Alphanumerical Character Recognition Purposes
2019
Entropy
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Since the optical character recognition methods require prior image binarization, the application of classical global thresholding methods in such case makes it impossible to preserve the visibility of ...
In this paper, the image preprocessing methodology with the use of local image entropy filtering is proposed, allowing for the improvement of various commonly used image thresholding methods, which can ...
optical character recognition (OCR) methods. ...
doi:10.3390/e21060562
pmid:33267276
fatcat:7mnsks2swvhujoyjvzbz5bbyxu
A SURVEY ON RECENT METHODOLOGIES IN MULTILINGUAL CHARACTER DETECTION AND RECOGNITION
2019
International Journal of Engineering Applied Sciences and Technology
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Different optical character recognition systems perform good for English characters but the accuracy for Hindi character recognition is not up to the mark. ...
Lot of work has been done for English language but still the issue of handwritten Hindi character recognition isn't yet comprehended sufficient. ...
Optical character recognition (OCR) system works well for English characters but the accuracy decreases for Hindi characters. ...
doi:10.33564/ijeast.2019.v04i03.062
fatcat:6tswkhkmwbcfnne6tk6z2jm6jm
A Hybrid Approach for Recognition of Hand Written Devnagri Compound Characters
2019
Asian Journal of Computer Science and Technology
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The system also shows a substantial improvement in accuracy for recognition of compound characters in comparison with our previously implemented system. ...
recognition accuracy from 75% to 96%. ...
as well as improving the recognition accuracy [7] . ...
doi:10.51983/ajcst-2019.8.2.2137
fatcat:xg4jvhygzbhqdpwru5borecxve
Automatic Number Plate Extraction: A Review
2016
International Journal of Engineering Research and
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Number plate extraction is real life research area in the field of image processing for automatic vehicle identification. ...
An efficient automatic vehicle identification system is useful for various applications such as automatic toll tax collection, parking system, Access control, stolen vehicles etc. ...
Character recognition using optical character recognition Optical Character Recognition algorithm can also be used to recognize the vehicle number. ...
doi:10.17577/ijertv5is020438
fatcat:uasczfvbrzborio4zreuvnk5iq
Mathematical Methods Applied to Digital Image Processing
2014
Mathematical Problems in Engineering
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The sieved training dataset along with automatic feature extraction/selection operation using Principal Component Analysis (PCA) is used in an optical character recognition (OCR) application. ...
the accuracy of conventional methods of image restoration. ...
doi:10.1155/2014/480523
fatcat:fzypdqk53vevboomhtuqob3dha
A New Fourier-Moments Based Video Word and Character Extraction Method for Recognition
2011
2011 International Conference on Document Analysis and Recognition
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Then a run length criterion is used for extraction of words. ...
than that at other columns of the word image. ...
The experimental results of the recognition reveal that extraction of words and character is useful to improve the accuracy of OCR recognition. ...
doi:10.1109/icdar.2011.235
dblp:conf/icdar/RajendranSSLT11
fatcat:5vf4em3ddnh7dovey5foa54xre
A New Gradient Based Character Segmentation Method for Video Text Recognition
2011
2011 International Conference on Document Analysis and Recognition
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To have better accuracy, this paper presents a new gradient based method for words and character segmentation from text line of any orientation in video frames for recognition. ...
We propose a new idea for segmenting characters from the restored word image based on the fact that the text height difference at the character boundary column is smaller than that of the other columns ...
accuracy improves at the charac word level. ...
doi:10.1109/icdar.2011.34
dblp:conf/icdar/ShivakumaraBSTP11
fatcat:2r32fa647jf6njcvqxe36dkolu
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