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Showing results for optical character recognition
Your search for optical character recongnition retrieved no results
Optical character recognition system for Baybayin scripts using support vector machine.
Pino R, Mendoza R, Sambayan R. Pino R, et al. PeerJ Comput Sci. 2021 Feb 15;7:e360. doi: 10.7717/peerj-cs.360. eCollection 2021. PeerJ Comput Sci. 2021. PMID: 33817010 Free PMC article.
This gives us four classification problems, namely: (1) Baybayin and Latin script recognition, (2) Baybayin character classification, (3) Latin character classification, and (4) Baybayin diacritical marks classification. To the best of our knowledge, this is …
This gives us four classification problems, namely: (1) Baybayin and Latin script recognition, (2) Baybayin character classifi …
Combining Optical Character Recognition With Paper ECG Digitization.
Ganesh S, Bhatti PT, Alkhalaf M, Gupta S, Shah AJ, Tridandapani S. Ganesh S, et al. IEEE J Transl Eng Health Med. 2021 May 25;9:1900309. doi: 10.1109/JTEHM.2021.3083482. eCollection 2021. IEEE J Transl Eng Health Med. 2021. PMID: 34235006 Free PMC article.
METHODS AND PROCEDURES: To reach this objective we: (1) preprocess the ECG records, which includes skew correction, background grid removal and linear filtering; (2) segment ECG signals using Connected Components Analysis (CCA); (3) implement Optical Character Re …
METHODS AND PROCEDURES: To reach this objective we: (1) preprocess the ECG records, which includes skew correction, background grid removal …
Facilitating clinical research through automation: Combining optical character recognition with natural language processing.
Hom J, Nikowitz J, Ottesen R, Niland JC. Hom J, et al. Clin Trials. 2022 Oct;19(5):504-511. doi: 10.1177/17407745221093621. Epub 2022 May 24. Clin Trials. 2022. PMID: 35608136
Leveraging our data warehouse, we extracted relevant scanned electronic medical record documents and applied optical character recognition to these images using the ABBYY FineReader software. ...RESULTS: We found that there was high accuracy and reduced time …
Leveraging our data warehouse, we extracted relevant scanned electronic medical record documents and applied optical character …
Application of optical character recognition with natural language processing for large-scale quality metric data extraction in colonoscopy reports.
Laique SN, Hayat U, Sarvepalli S, Vaughn B, Ibrahim M, McMichael J, Qaiser KN, Burke C, Bhatt A, Rhodes C, Rizk MK. Laique SN, et al. Gastrointest Endosc. 2021 Mar;93(3):750-757. doi: 10.1016/j.gie.2020.08.038. Epub 2020 Sep 3. Gastrointest Endosc. 2021. PMID: 32891620 Free PMC article.
We aim to demonstrate the use of a new hybrid approach using natural language processing of charts that have been elucidated with optical character recognition processing (OCR/NLP hybrid) to obtain relevant clinical information from scanned colonoscopy and pa …
We aim to demonstrate the use of a new hybrid approach using natural language processing of charts that have been elucidated with optical …
OCTess: AN OPTICAL CHARACTER RECOGNITION ALGORITHM FOR AUTOMATED DATA EXTRACTION OF SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY REPORTS.
Balas M, Herman J, Bhambra NS, Longwell J, Popovic MM, Melo IM, Muni RH. Balas M, et al. Retina. 2024 Apr 1;44(4):558-564. doi: 10.1097/IAE.0000000000003990. Retina. 2024. PMID: 37948741
PURPOSE: Manual extraction of spectral domain optical coherence tomography (SD-OCT) reports is time and resource intensive. This study aimed to develop an optical character recognition (OCR) algorithm for automated data extraction from Cirrus SD-OCT ma …
PURPOSE: Manual extraction of spectral domain optical coherence tomography (SD-OCT) reports is time and resource intensive. This stud …
Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques.
Nahar KMO, Alsmadi I, Al Mamlook RE, Nasayreh A, Gharaibeh H, Almuflih AS, Alasim F. Nahar KMO, et al. Sensors (Basel). 2023 Nov 28;23(23):9475. doi: 10.3390/s23239475. Sensors (Basel). 2023. PMID: 38067848 Free PMC article.
To fill this gap, we propose a hybrid model that combines feature extraction with deep learning models and then uses machine learning (ML) and optical character recognition (OCR) methods and applies grid and random search optimization algorithms to obtain the …
To fill this gap, we propose a hybrid model that combines feature extraction with deep learning models and then uses machine learning (ML) a …
Optical character recognition reading aid for the visually impaired.
Grandin JC, Cremaschi F, Lombardo E, Vitu E, Dujovny M. Grandin JC, et al. Neurol Res. 2008 Jun;30(5):441-3. doi: 10.1179/016164108X269312. Neurol Res. 2008. PMID: 18953732
OBJECTIVE: An optical character recognition (OCR) reading machine is a significant help for visually impaired patients. ...
OBJECTIVE: An optical character recognition (OCR) reading machine is a significant help for visually impaired patients. …
Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research.
Dinges L, Al-Hamadi A, Elzobi M, El-Etriby S. Dinges L, et al. Sensors (Basel). 2016 Mar 11;16(3):346. doi: 10.3390/s16030346. Sensors (Basel). 2016. PMID: 26978368 Free PMC article.
This is why there is a lack of such databases, especially for Arabic, the second most popular language. However, Arabic handwriting recognition involves different preprocessing, segmentation and recognition methods. ...We found that a modification of an Active Shape …
This is why there is a lack of such databases, especially for Arabic, the second most popular language. However, Arabic handwriting recog …
A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions.
Mohsenzadegan K, Tavakkoli V, Kyamakya K. Mohsenzadegan K, et al. Sensors (Basel). 2022 Aug 12;22(16):6025. doi: 10.3390/s22166025. Sensors (Basel). 2022. PMID: 36015785 Free PMC article.
In this study, we propose a new model for optical character recognition (OCR) based on both CNNs (convolutional neural networks) and RNNs (recurrent neural networks). ...However, our comprehensive study in this paper shows that various related works can somew …
In this study, we propose a new model for optical character recognition (OCR) based on both CNNs (convolutional neural …
A Real-Time Automatic Plate Recognition System Based on Optical Character Recognition and Wireless Sensor Networks for ITS.
Dalarmelina NDV, Teixeira MA, Meneguette RI. Dalarmelina NDV, et al. Sensors (Basel). 2019 Dec 20;20(1):55. doi: 10.3390/s20010055. Sensors (Basel). 2019. PMID: 31861866 Free PMC article.
Automatic License Plate Recognition has been a recurrent research topic due to the increasing number of cameras available in cities, where most of them, if not all, are connected to the Internet. ...This paper presents the development of an intelligent vehicle identificati …
Automatic License Plate Recognition has been a recurrent research topic due to the increasing number of cameras available in cities, …
530 results