A Text Reader for the Visually Impaired using Raspberry Pi

被引：0
|
作者：
Akila, I. S. [1 ]
Akshaya, B. [1 ]
Deepthi, S. [1 ]
Sivadharshini, P. [1 ]
机构：
[1] Coimbatore Inst Technol, Dept ECE, Coimbatore 14, Tamil Nadu, India
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC 2018) | 2018年
关键词：
Raspberry Pi; Tesseract OCR engine; Google Speech API; Natural Language Processing;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The challenges faced by the visually impaired people in reading printed texts in their day-today life are often not well understood. This paper is based on a prototype which helps the user to listen to the contents of the text images in English and Tamil. It involves extraction of text from the image and converting the text to translated audio output in the languages mentioned above. This is done using Raspberry Pi 3 model B and a camera module with the concepts of Tesseract OCR [Optical Character Recognition] engine and Google Speech API [Application Program Interface] which is the textual input to speech engine. The model is programmed using Python language. It is portable and easy to use thus providing a better reading experience to the visually challenged people as enjoyed by their sighted peers.
引用
收藏
页码：778 / 782
页数：5
相关论文
共 50 条
  • [1] TEXT RECOGNITION AND FACE DETECTION AID FOR VISUALLY IMPAIRED PERSON USING RASPBERRY PI
    Rajesh, M.
    Rajan, Bindhu K.
    Roy, Ajay
    Thomas, Almaria K.
    Thomas, Ancy
    Tharakan, Bincy T.
    Dinesh, C.
    [J]. PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT ,POWER AND COMPUTING TECHNOLOGIES (ICCPCT), 2017,
  • [2] Portable Assistive system for Visually Impaired using Raspberry Pi
    Lakshmanan, Suganthi
    Divya, B.
    Nirmala, K.
    Annamalai, M.
    Pragadeesh, T.
    Varshini, Sanju T.
    [J]. PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ADVANCES AND DEVELOPMENTS IN ELECTRICAL AND ELECTRONICS ENGINEERING (ICADEE), 2020, : 167 - 170
  • [3] Text Reader for Visually Impaired People: ANY READER
    Manikandan, A. V. M.
    Choudhury, Shouham
    Majumder, Souptik
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 2389 - 2393
  • [4] A Vision Module for Visually Impaired People by Using Raspberry PI Platform
    Tepelea, Laviniu
    Buciu, Ioan
    Grava, Cristian
    Gavrilut, Ioan
    Gacsadi, Alexandru
    [J]. 2019 15TH INTERNATIONAL CONFERENCE ON ENGINEERING OF MODERN ELECTRIC SYSTEMS (EMES), 2019, : 209 - 212
  • [5] Mobile Reader: Turkish Scene Text Reader for the Visually Impaired
    Kandemir, Hilal
    Canturk, Busra
    Bastan, Muhammet
    [J]. 2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 1857 - 1860
  • [6] Enhanced synthesized text reader for visually impaired users
    Sodnik, Jaka
    Jakus, Grega
    Tomazic, Saso
    [J]. THIRD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER-HUMAN INTERACTIONS: ACHI 2010, 2010, : 91 - 94
  • [7] Handy text reader based text to speech technology for visually impaired persons
    Haripriya, D.
    Bellamkonda, Prathibhachand
    Chandrika, Marka
    Alekhya, Sachu
    [J]. International Journal of Vehicle Information and Communication Systems, 2022, 7 (02) : 188 - 198
  • [8] Braille Book Reader using Raspberry Pi
    Sharma, Abhishek
    Devi, Suman
    Verma, Jitendra Kumar
    [J]. 2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020), 2020, : 841 - 843
  • [9] Assistance For Visually Impaired Using Finger-Tip Text Reader Using Machine Learning
    Kowshik, S.
    Gautam, V. R.
    Suganthi, K.
    [J]. 2019 11TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC 2019), 2019, : 7 - 12
  • [10] Real-Time Family Member Recognition Using Raspberry Pi for Visually Impaired People
    Islam, Md Tobibul
    Ahmad, Mohiuddin
    Bappy, Akash Shingha
    [J]. 2020 IEEE REGION 10 SYMPOSIUM (TENSYMP) - TECHNOLOGY FOR IMPACTFUL SUSTAINABLE DEVELOPMENT, 2020, : 78 - 81
12345