Blind visual compensation method and system for implementing same

Abstract

The invention discloses a blind visual compensation method and a system for implementing the same. The system comprises a template blind identification resource unit, a mobile gray image capturing unit, a blind identification positioning unit, a blind identification recognition unit and a voice synthesis output unit, wherein the template blind identification resource unit is used for pre-storing feature data of different blind identification to represent different information; the mobile gray image capturing unit is used for capturing identification images through handheld mobile equipment; the blind identification positioning unit is used for positioning the blind identification in the captured images; the blind identification recognition unit is used for recognizing the positioned blindidentification; and the voice synthesis output unit is used for outputting the information included in the positioned blind identification in a voice form. The system can still ensure good instantaneity at a terminal platform with weak calculation performance.

Description

A visual compensation method for the blind and a system for realizing the method technical field The present invention relates to a visual compensation method for the blind and a system for realizing the method, in particular to a visual compensation system for the blind based on rapid image recognition and a compensation method for providing blind users with scene recognition analysis and blind guide services anytime and anywhere. A realization scheme is proposed in the direction of scene awareness in the research field of information accessibility for persons with disabilities. Background technique Image recognition technology can help blind people perceive life scenes, and it can play a more important role in guiding the blind and helping the disabled in the mobile computing environment. Traditional image recognition usually undergoes data processing such as equalization, noise reduction, sharpening, and texture detection. Such a huge amount of calculation is suitable f...

AI Technical Summary

Problems solved by technology

The above-mentioned patented method is used to identify road signs indicating directions on the road, and the identification object is single; it uses digital signal processing algorithms such as histogram equalization, binarization, point noise removal, gradient sharpening, texture detection, and image rotation, and requires Template matching is performed on each character, which requires a large amount of calculation and is suitable for DSP or PC platforms

Images