Browsing by Author "Shaikh, Safiya Naaz (16CO14)"

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    Identification and recognition of text and face using image processing for visually impaired
    (AIKTC, 2020-05) Gopale, Apeksha; Shaikh, Safiya Naaz (16CO14); Zamadar, Ramijraja (16CO60); Sharma, Harishkumar (16CO58)
    ”Visual Information is the basis for most of the tasks, so visually impaired people are at the disadvantage because necessary information about the surrounding environment is not available.The objective of this project is to guide unsighted people with smart device using an Android Phone.This device is an innovative and cause effective guide system for Visually Impaired People(VIP). This system based on Android technology and designed for trying to solve the impossible situation that afflicts the blind people. This paper presents camera based system which will help blind person for reading text patterns printed on documents. This is the framework to assist visually impaired persons to read text patterns and convert it into the audio output. To obtain the object from the background and extract the text pattern from that object, the system first proposes the method that will capture the image from the camera and object region is detected.The text patterns are localized and binarized using Optical Character Recognition (OCR). The recognized text is converted to an audio output. Therefore, this project deals with analysis of detection and recognition of different text patterns on different documents. To help the blind people the visual world has to be transformed into the audio world with the potential to inform them about objects.The inability to identify people during group meetings is a disadvantage for blind people in many professional and educational situations. To explore the efficiency of face recognition using smartphones in these settings, we have prototyped and tested a face recognition tool for blind users. The tool utilizes Smartphone technology in conjunction with a wireless network to provide audio feedback of the people in front of the blind user. Keywords: Android,Visually Impaired,Blind People,Smart device ,Object detection, Text recoginition ,Face Recoginition,Optical Character Recognition (OCR),LBP