№ files_lp_4_process_2_88934
File format: docx Character count: 10742 File size: 2318 KB
Année: 2012
Région / ville: Cambridge
Thématique: Programmation et architecture informatique
Type de document: Fiche technique
Organisme / établissement: Fondation Raspberry Pi
Auteur: Eben Upton
Public cible: Étudiants en informatique, amateurs de programmation
Date de modification: Aucune mention
Price: 8 / 10 USD
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OCR Algorithm Using Raspberry Pi3 for Vision-Impaired Assistance
Authors: Praveena S., Sowmiya N., Thenmozhi M., Manoharan L.
Institution: Jeppiaar SRR Engineering College
Department: Department of Electronics and Communication Engineering
Author roles: UG Student; Assistant Professor
Academic field: Electronics and Communication Engineering
Topic: Optical Character Recognition and assistive technology for visually impaired users
Technologies mentioned: Raspberry Pi 3; Tesseract algorithm; Python; HDMI to VGA converter; Ultrasonic sensor
Keywords: OCR Technology; Raspberry Pi3; HDMI to VGA converter; Tesseract algorithm
Document type: Academic research paper
Research area: Computer vision; Artificial Intelligence; Digital Image Analysis
Application domain: Assistive reading system for blind and visually impaired people
Input data: Images of printed or handwritten text captured by camera
Output format: Speech audio generated from recognized text
Recognition method: Text localization with gradient features and Adaboost model followed by Tesseract OCR recognition
Algorithm features: Motion-based object detection and region-of-interest localization
Reported performance: Approximately 90% success rate on the test set
Hardware platform: Raspberry Pi device with camera and sensors
Topics: DcouverteCarte Raspberry