scholarly journals Analytical and Comparative Study of Face Detection and Face Recognition Techniques for Visually Impaired and Blind People

2019 ◽  
Vol 7 (6) ◽  
pp. 1802-1811
Author(s):  
Prof. Taruna Sharma
Keyword(s):  
Face Recognition ◽  
Comparative Study ◽  
Face Detection ◽  
Visually Impaired ◽  
Blind People

scholarly journals Design and Implementation of Facial Recognition System for Visually Impaired using Image Processing

2019 ◽  
Vol 8 (4) ◽  
pp. 4803-4807
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Face Detection ◽  
Visually Impaired ◽  
Recognition System ◽  
Raspberry Pi ◽  
Design And Implementation ◽  
The Face ◽  
Visually Impaired Students ◽  
Facial Recognition System

One of the most difficult tasks faced by the visually impaired students is identification of people. The rise in the field of image processing and the development of algorithms such as the face detection algorithm, face recognition algorithm gives motivation to develop devices that can assist the visually impaired. In this research, we represent the design and implementation of a facial recognition system for the visually impaired by using image processing. The device developed consists of a programmed raspberry pi hardware. The data is fed into the device in the form of images. The images are preprocessed and then the input image captured is processed inside the raspberry pi module using KNN algorithm, The face is recognized and the name is fed into text to speech conversion module. The visually impaired student will easily recognize the person before him using the device. Experiment results show high face detection accuracy and promising face recognition accuracy in suitable conditions. The device is built in such a way to improve cognition, interaction and communication of visually impaired students in schools and colleges. This system eliminates the need of a bulk computer since it employs a handy device with high processing power and reduced costs.

scholarly journals Automated Human Identification and Obstacle Avoidance for Visually Impaired

2018 ◽  
Vol 7 (3.6) ◽  
pp. 9 ◽  
Author(s):  
Priyanka Kumari ◽  
. .
Keyword(s):  
Face Recognition ◽  
Obstacle Avoidance ◽  
Visually Impaired ◽  
Human Identification ◽  
Ultrasonic Sensor ◽  
Discrete Wavelet ◽  
Blind People ◽  
Visually Impaired People ◽  
Impaired People

This paper provides a method for human identification and obstacle avoidance for visually impaired. Visually impaired people faces lots of difficulty in accomplishing their day to day activities. Among one such difficulty is to recognize the person, this paper comes up with a technique which will helps blind people to identify person approaching them. Here DWT technique is used for face recognition. In this technique the entire image is decomposed into discrete wavelet bands. From this bands required features of image is obtained. This features when subjected to classifier gives proper output by identifying the person. Another part of paper deals with obstacle avoidance by using a blind stick. Blind stick uses an ultrasonic sensor and PIR sensor that detect obstacle at a distance of 100 cm. This stick can be used as alert signal for blind people.  

Touching Blind Bodies: A Critical Inquiry into Pedagogical and Cultural Constructions of Visual Disability in the Nineteenth Century

2018 ◽  
Author(s):  
Heather Tilley ◽  
Jan Eric Olsén
Keyword(s):  
Nineteenth Century ◽  
Visually Impaired ◽  
Blind People ◽  
Embodied Experience ◽  
Visual Disability ◽  
Visually Impaired People ◽  
Educational Challenges ◽  
Impaired People ◽  
The Senses ◽  
Cultural Constructions

Changing ideas on the nature of and relationship between the senses in nineteenth-century Europe constructed blindness as a disability in often complex ways. The loss or absence of sight was disabling in this period, given vision’s celebrated status, and visually impaired people faced particular social and educational challenges as well as cultural stereotyping as poor, pitiable and intellectually impaired. However, the experience of blind people also came to challenge received ideas that the visual was the privileged mode of accessing information about the world, and contributed to an increasingly complex understanding of the tactile sense. In this chapter, we consider how changing theories of the senses helped shape competing narratives of identity for visually impaired people in the nineteenth century, opening up new possibilities for the embodied experience of blind people by impressing their sensory ability, rather than lack thereof. We focus on a theme that held particular social and cultural interest in nineteenth-century accounts of blindness: travel and geography.

Pose estimation and frontal face detection for face recognition

2005 ◽  
Author(s):  
Eng Thiam Lim ◽  
Jiangang Wang ◽  
Wei Xie ◽  
Venkarteswarlu Ronda
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Pose Estimation

The Adaboost Algorithm Applied in ATM Automatic Identification System

2013 ◽  
Vol 753-755 ◽  
pp. 2941-2944
Author(s):  
Ming Hui Zhang ◽  
Yao Yu Zhang
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Computing Time ◽  
Automatic Identification ◽  
Identification System ◽  
Human Face ◽  
Detection Experiment ◽  
Adaboost Algorithm ◽  
Face Features ◽  
Human Faces

Seeing that human face features are unique, an increasing number of face recognition algorithms on existing ATM are proposed. Since face detection is a primary link of face recognition, our system adopts AdaBoost algorithm which is based on face detection. Experiment results demonstrated that the computing time of face detection using this algorithm is about 70ms, and the single and multiple human faces can be effectively measured under well environment, which meets the demand of the system.

scholarly journals Pre filtering techniques for face recognition based on edge detection algorithm

2017 ◽  
Vol 7 (1.1) ◽  
pp. 213
Author(s):  
Sheela Rani ◽  
Vuyyuru Tejaswi ◽  
Bonthu Rohitha ◽  
Bhimavarapu Akhil
Keyword(s):  
Face Recognition ◽  
Face Detection ◽  
Detection Algorithm ◽  
Facial Features ◽  
Human Face ◽  
Video Frames ◽  
Similar Idea ◽  
The Individual ◽  
The Given ◽  
Interesting Area

Recognition of face has been turned out to be the most important and interesting area in research. A face recognition framework is a PC application that is apt for recognizing or confirming the presence of human face from a computerized picture, from the video frames etc. One of the approaches to do this is by matching the chosen facial features with the pictures in the database. It is normally utilized as a part of security frameworks and can be implemented in different biometrics, for example, unique finger impression or eye iris acknowledgment frameworks. A picture is a mix of edges. The curved line potions where the brightness of the image change intensely are known as edges. We utilize a similar idea in the field of face-detection, the force of facial colours are utilized as a consistent value. Face recognition includes examination of a picture with a database of stored faces keeping in mind the end goal to recognize the individual in the given input picture. The entire procedure covers in three phases face detection, feature extraction and recognition and different strategies are required according to the specified requirements.

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