Open AccessThe Smart Assistant for Library Management and Book Reader for Blind People Using Raspberry Pi
Author(s) -
M. V. Karthikeyan,
K. Abirami,
K. Abinaya
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-955
Subject(s) - computer science , object (grammar) , artificial intelligence , computer vision , reading (process) , motion (physics) , raspberry pi , character (mathematics) , region of interest , rest (music) , pixel , enhanced data rates for gsm evolution , software , optical character recognition , image (mathematics) , computer graphics (images) , world wide web , linguistics , mathematics , internet of things , medicine , philosophy , geometry , cardiology , programming language
This system proposes a camera-based assistive text reading framework to help blind persons ad text labels and product packaging from hand-held objects in their daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera view, we rest propose an ancient and active motion-based method to dine a Region Of Interest (ROI) in the video by asking the user to shake the object. In the extracted ROI, text localization and recognition are conducted to acquire text information. To automatically localize the text regions from the object ROI, we propose a novel text localization algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Ad boost model. Text characters in the localized text regions are then binaries and recognized by the shelf Optical Character Recognition (OCR) software.