Text reader for visually impaired people: Any reader

Manikandan, A.; Choudhury, Shouham; Majumder, Souptik

doi:10.1109/icpcsi.2017.8392145

Cited by 5 publications

(2 citation statements)

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“…It can handle the document complexity remains limited and still templates are used. [6][7][8][9] 2. Literature Survey Sangam Borkar, Nidhi Kalidas Sawant "written Text to Speech Conversion using OCR".…”

Section: Machine Learningmentioning

confidence: 99%

See 1 more Smart Citation

OCR for Medical Data Processing

Im¹,

Vinodhini²,

Jayaprakash³

et al. 2021

IRJASH

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The mechanism which implement in this device is to help visual impairment people and also to modify the hardcopy hospital data into softcopy. The modified softcopy file will be stored as a backup in the drop box. In this project, a device which developed by a web is converts an image text to speech. The basic structure of the system is to capture an image, extract only the interest region (i.e. The image region which has text) and converts that text speech. The device is implemented with the help of system and a web camera. It locates the parts of images which contains the text and eliminate the background by various image pre-processing from the captured image. Two tools are required to convert the captured image (which contains text only).

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Section: Machine Learningmentioning

confidence: 99%

“…In this document, we discussed the various stages in text detection, handwritten OCR systems categorization according to the text kind, study on Chinese and Arabic text detection as well as use oriented current study in OCR. [5][6][7][8][9][10][11].…”

Section: Machine Learningmentioning

confidence: 99%