Efficient Portable Camera Based Text to Speech Converter for Blind Person

Shah, Trupti; Parshionikar, Sangeeta

doi:10.1109/iss1.2019.8907995

Cited by 14 publications

(2 citation statements)

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“…Convolutional a recurrent neural network is a proposed method used to train individual words separately. The disadvantage being that the proposed method CRNN failed to deliver output if one word is above and another word is below in the image [5].…”

Section: Literature Survey Smart Reader For Visually Impairedmentioning

confidence: 98%

Raspberry Pi based Object Detection and Text Reader using Voice Assistance

Sushmitha¹

2021

IJRASET

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Communication is the basic requirement for humans to connect and it requires text and speech but visually impaired people cannot able to perform this. This project helps them to read the image. This project is an automatic document reader for visually impaired people, developed on the Raspberry Pi processor board. It controls the peripherals like a camera, a speaker which acts as an interface between the system and the user. Here, we use a raspberry pi camera which is used to capture the image and scan the image using Image Magick software. Then the output of the scanned image is given to OCR(optical character recognition) software to convert the image to text. It converts the typed or printed text to the machine code. Then we use Text to Speech (TTS), which is used to convert speech to text. The experimental result is very helpful to blind people as there was much analysis of the different objects.

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Section: Literature Survey Smart Reader For Visually Impairedmentioning

confidence: 98%

Raspberry Pi based Object Detection and Text Reader using Voice Assistance

Sushmitha¹

2021

IJRASET

View full text Add to dashboard Cite

show abstract

“…Kamesh, Nazma, Sastry ve Venkateswarlu (2016) araştırmalarında görme yetersizliği olan öğrencilerin metni sese dönüştüren veya kamera odağında bulunan nesneyi isimlendiren programın hedef kitlenin günlük yaşamlarında kolaylık sağladığı ve karşılaştıkları engelleri aşmada yardımcı olduklarını belirlemişlerdir. Bunların yanında optik karakter tanıma veya teknik iyileştirmeler ile ilgili programların etkililiğini inceleyen çalışmalar da alanyazında yer almaktadır (Neto ve Fonseca, 2014;Shah ve Parshionikar, 2019). Buna karşılık ulusal ve uluslararası ölçekli çalışmalarda bu durumun ortaya konulmasından itibaren etkililik ve işlevsellik belirteçlerinin iyileştirilmesine yönelik eylem odaklı çalışma tespit edilememiştir.…”

Section: Introductionunclassified