Digital Image Processing

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Image Reader for Visually Impaired People


Affiliations
1 Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
     

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In this society there are millions of visually impaired people, our paper introduces an innovative, efficient and real-time cost effective technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This type of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed.


Keywords

OCR, Text to Speech Converter, Image and Voice Processing.
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  • Optical Character Recognition (OCR) enhancement using an approximate string matching technique - KraisakKesorn and PhornsiriPhawapoothayanchai Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Phitsanulok, Thailand

  • Text to Speech Conversion System using OCR – Jisha Gopinath, Aravind, Pooja Chandra, Saranya S, Department of Electronics and Communication, SBCEW, Kerala, India


Abstract Views: 211

PDF Views: 0




  • Image Reader for Visually Impaired People

Abstract Views: 211  |  PDF Views: 0

Authors

S. Sathya Priya
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
M. Sowmiya
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
G. Srikowsika
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
S. Suvetha
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India
K. Sridevi
Department of Electronics and Communication Engineering, Sri Eshwar College of Engineering, Coimbatore, TamilNadu, India

Abstract


In this society there are millions of visually impaired people, our paper introduces an innovative, efficient and real-time cost effective technique that enables user to hear the contents of text images instead of reading through them. It combines the concept of Optical Character Recognition (OCR) and Text to Speech Synthesizer (TTS) in Raspberry pi. This type of system helps visually impaired people to interact with computers effectively through vocal interface. Text Extraction from color images is a challenging task in computer vision. Text-to-Speech conversion is a method that scans and reads English alphabets and numbers that are in the image using OCR technique and changing it to voices. This paper describes the design, implementation and experimental results of the device. This device consists of two modules, image processing module and voice processing module. The device was developed based on Raspberry Pi v2 with 900 MHz processor speed.


Keywords


OCR, Text to Speech Converter, Image and Voice Processing.

References