2018
DOI: 10.1016/j.measurement.2018.02.021
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Development of OCR system on android platforms to aid reading with a refreshable braille display in real time

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Cited by 22 publications
(8 citation statements)
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“…This development was carried out to help children with visual impairments detect braille and respond to text by connecting it to an android, even this automatic braille point detector is able to read braille text in image form (Sulviyani et al, 2017), supported by a braille mouse which is the central connection for social media for use on smartphones or tablets which can greatly influence the development of social interaction, and the use of the latest technology that is connected to social media platforms in the form of chat quickly and can be used anywhere because it was developed without cable (Holanda et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…This development was carried out to help children with visual impairments detect braille and respond to text by connecting it to an android, even this automatic braille point detector is able to read braille text in image form (Sulviyani et al, 2017), supported by a braille mouse which is the central connection for social media for use on smartphones or tablets which can greatly influence the development of social interaction, and the use of the latest technology that is connected to social media platforms in the form of chat quickly and can be used anywhere because it was developed without cable (Holanda et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…One of the most significant function of this system is that, the program uses TTS function to output ai as speech, which provides a more comfortable way for the blind to use the dictionary. In addition, several works in the past focused on OCR in android applications [35,36], real-time OCR [37], character readability on smart phones [38], character recognition models suitable for handheld devices [39], and App to recognize food items in Chinese menu [40]. Considering several related work, it is evident that, none of the previous research focused on developing a method to visually understand the text only by scanning.…”
Section: Related Workmentioning
confidence: 99%
“…In this study, to classify research documents, first, OCR will be used. Optical Character Recognition (OCR) acquires an image through the use of a device, usually a camera or scanner, and then converts it to digital text [5][6] [7]. Then, supervised term weighting schemes are applied to assign a weight for each term in every document, enhancing text classification performance [8].…”
Section: Introductionmentioning
confidence: 99%