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Recognition of camera-captured low-quality characters using motion blur information
2008
Pattern Recognition
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We have experimentally proved that the effective use of motion blur improves the recognition accuracy of camera-captured characters. ᭧ ...
Camera-based character recognition has gained attention with the growing use of camera-equipped portable devices. ...
Acknowledgment Parts of this research were supported by the Grants-In-Aid for Scientific Research (16300054 and 17650050) and the 21st century COE program from the Ministry of Education, Culture, Sports ...
doi:10.1016/j.patcog.2008.01.009
fatcat:gpyddpdl4bfz5eyotwaylanhym
Recognition of Very Low-Resolution Characters from Motion Images Captured by a Portable Digital Camera
[chapter]
2004
Lecture Notes in Computer Science
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This paper presents a new character recognition algorithm for very low-resolution video data. ...
Many kinds of digital devices can easily take motion images such as digital video cameras or camera-equipped cellular phones. ...
Acknowledgments The authors thank their colleagues for useful suggestions and discussion. ...
doi:10.1007/978-3-540-30541-5_31
fatcat:jsn6bkskevbc5l6b3ikdlrldq4
Jittered Exposures for Image Super-Resolution
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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performance metrics from optical character recognition (OCR) and barcode decoding. ...
ability to fully recover information lost due to under-sampling. ...
In order to avoid well-known issues with low-level image quality metrics, we demonstrate the advantages of our method with quantifiable performance metrics from optical character recognition (OCR) and ...
doi:10.1109/cvprw.2018.00239
dblp:conf/cvpr/LiMY18
fatcat:cido4y3akzesdhqtim6kq634ci
Robust Assistive Reading Framework for Visually Challenged
2017
International Journal of Image Graphics and Signal Processing
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OCR is developed for scanned documents of high quality to perform text extraction on a low resolution mobile camera captured image it is a challenging job. ...
R-Map [14] android application proposed it uses the camera to capture the Image of the Text and then with the help of Optical character Recognition and the text to speech engine it provides the read ...
doi:10.5815/ijigsp.2017.10.04
fatcat:kzyv6aa5bnbevhhmexg6pwag34
Optoelectronic and Environmental Factors Affecting the Accuracy of Crowd-sourced Vehicle-mounted License Plate Recognition
2020
IEEE Open Journal of Intelligent Transportation Systems
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The development of a low-cost crowdsourced solution requires an informed approach to the selection of an appropriate camera, as well as a realistic understanding of the system's performance under various ...
A theoretical LPR camera model was developed to estimate the effect of different cameras, while the effects of motion, orientation and lighting were evaluated in a series of experimental tests. ...
Two common distortions resulting from relative motion are motion blur and slant. 1) Motion blur: Motion blur typically occurs when moving objects are captured in low-light conditions due to the longer ...
doi:10.1109/ojits.2020.2991402
fatcat:slobun6mbfedbh2mmrc2ud4zry
Detecting good quality frames in videos captured by a wearable camera for blind navigation
2013
2013 IEEE International Conference on Bioinformatics and Biomedicine
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However, motion blur caused by a moving camera limits the real-world application of wayfinding for blind users. ...
In this paper, we propose a new method to detect good quality frames from videos captured by cameras , which are taken by blind users. ...
Some example images captured by a wearable camera, as shown in Figure 2 , are blurred due to the camera motion. ...
doi:10.1109/bibm.2013.6732513
dblp:conf/bibm/TianTY13
fatcat:g53apm4uinbvjjzv6bb5qp3fdi
CNN for License Plate Motion Deblurring
[article]
2016
arXiv
pre-print
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Additionally, we evaluate the behavior and limits of the CNNs with respect to blur direction range and length. ...
We focus on blurred images from a real-life traffic surveillance system, on which we, for the first time, demonstrate that neural networks trained on artificial data provide superior reconstruction quality ...
Moreover, static placement of the cameras allows us to train custom CNNs for their expected range of motion blur sizes and directions. ...
arXiv:1602.07873v1
fatcat:42f24rai2jafvmbc6jdnpmq3am
Real-Time Scene Text Detection Using Deblurring Technique
2020
International Journal of Engineering Technology and Management Sciences
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Since the scale, slant, and shade of every applicant can be evaluated from CCs, we build up a book/non text classifier for standardized pictures. ...
In this paper we present another scene text identification calculation dependent on two AI classifiers: one permits us to produce up-and-comer word areas and different sift through non text ones. ...
MOTION BLUR REMOVAL Motion blur, while being useful for depicting object motion in still images, often spoils photographs by losing image sharpness. ...
doi:10.46647/ijetms.2020.v04i05.004
fatcat:24b7el5mqjf2pn7xqf56ctjkcu
Influence of severe vibrations on the visual perception of video sequences
2000
Infrared Technology and Applications XXVI
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The second distortion is the blur of each frame of the sequence due to frame motion during its exposure. ...
We found that the threshold contrast needed to recognize a target in a vibrating video sequence under certain conditions is more affected by the motion blur of each frame than the oscillation of the line-of-sight ...
Introduction Vibration may hide vital information in a video sequence captured by a camera subject to mechanical vibration. ...
doi:10.1117/12.409917
fatcat:fsp5mi5irfcgrbbfgtkdaalddq
Influence of severe vibrations on the visual perception of video sequences
2001
Optical Engineering: The Journal of SPIE
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The second distortion is the blur of each frame of the sequence due to frame motion during its exposure. ...
We found that the threshold contrast needed to recognize a target in a vibrating video sequence under certain conditions is more affected by the motion blur of each frame than the oscillation of the line-of-sight ...
Introduction Vibration may hide vital information in a video sequence captured by a camera subject to mechanical vibration. ...
doi:10.1117/1.1367256
fatcat:7svaxwdrjzgijlo7daossd7sem
Image processing issues in a social assistive system for the blind
2015
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)
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We focus on the acquisition and processing of the video sequences that are acquired by a wearable sensor (a smartphone camera or a Webcam) for the detection of faces in the scene. ...
We systematically analyse the design of the lowlevel vision components of a real-time system able to help a blind person in his/her social interactions. ...
ACKNOWLEDGMENT This work has been supported by the University of Trieste -Finanziamento di Ateneo per progetti di ricerca scientifica -FRA 2014, and by a private donation in memory of Angelo Soranzo . ...
doi:10.1109/ispa.2015.7306061
dblp:conf/ispa/BonettoCFMMPR15
fatcat:vmzzt3wz6fbl5kg2mybgzo6iyy
Incorporating Deblurring Techniques in Multiple Recognition of License Plates from Video Sequences
2021
Turkish Journal of Computer and Mathematics Education
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Since multiple detection for license plate produces different difficulties such as motion blur and camera angle view the approach attempts to minimize the effects of these problems while still being applicable ...
Recognition of license plate is the process of wherein photographic video or images of license plates are being captured and then processed using an application that implements series of algorithms that ...
cause by out-offocus camera, motion blur and camera angle that is a problem associated mostly in this study.
2.related works Automatic license plate recognition, abbreviated as alpr, become and active ...
doi:10.17762/turcomat.v12i3.2194
fatcat:2r36npnsafdg5azqzt27zly5wq
Study on color space for the performance of degraded face image recognition
2018
IS&T International Symposium on Electronic Imaging Science and Technology
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Acknowledgment This research is supported by the Conseil Regional Basse-Normandie Grant 14P02048 and Research Council of Norway through project number 221073: HyPerCept -Color and Quality in Higher Dimensions ...
For motion blur we use Matlab function 'h = f special( motion , len,theta)', which returns a filter to the linear motion of a camera by len pixels, with an angle of theta degrees in a counterclockwise ...
We generate two sharpness distortions: motion blur and Gaussian blur. ...
doi:10.2352/issn.2470-1173.2018.07.mwsf-369
fatcat:knd2bnin5rdw7nsff3diklfwhy
An Introduction to Super-Resolution Text
[chapter]
2007
Advances in Pattern Recognition
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While the area of super-resolution has been dealt with in fair depth in recent years, it is only just becoming useful as an applicable stage in improving text images, particularly for further processing ...
Then the main processing stages involved will be described: motion estimation and registration, warping and reconstruction, and deblurring and denoising. ...
Acknowledgements The first author was partly funded by Ministère de la Region wallonne in Belgium and by a mobility grant from FNRS to work at the University of Bristol. ...
doi:10.1007/978-1-84628-726-8_14
fatcat:2lkasvbdhrhabjzvdnbetczs5i
High-Resolution Image Data Collection Scheme for Road Sensing Using Wide-Angle Cameras on General-Use Vehicle Criteria to Include/Exclude Collected Images for Super Resolution
2021
International Journal of Intelligent Transportation Systems Research
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Although the object regions are often captured with relatively low image quality (low resolution and large blur) resulting from the character of the lens, it is possible to enhance their quality by post-processing ...
Here, it is required to decide which images to use as inputs for SR: a greater number of lower-quality images or fewer higher-quality images. ...
cameras, and consideration of motion blur. ...
doi:10.1007/s13177-020-00243-0
fatcat:4glrqlfiqfegxknav4oajgm6my
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