scholarly journals Paper Money Recognizer Using Feature Descriptor

2018 ◽  
Vol 12 (1) ◽  
pp. 117
Author(s):  
Nur Hadisukmana ◽  
Adri Yudianto
Keyword(s):  
Feature Extraction ◽  
Visually Impaired ◽  
The Other ◽  
Feature Descriptor ◽  
Paper Money ◽  
Feature Extraction Algorithm ◽  
Visually Impaired People ◽  
Extraction Algorithm ◽  
Impaired People ◽  
Different Types

<p>People are still using paper money for daily transaction; this, however, will expose some difficulty for visually impaired people. Though they can still read the nominal value of the paper money by the other people or feel the tactile feature, they cannot depend upon others all the time and the tactile feature does not work well if the paper money is worn out. Some alternatives have been proposed and conducted. One of them is using money value recognition application. The application will recognize nominal value of paper money comparing the image of the paper with database. This process is using a feature extraction algorithm called ORB feature descriptor. It has been used for six (6) different types of currencies that are 5 most traded currencies and Indonesia currency and also for different types of nominals (bills).</p>

scholarly journals INFERRING THE SCALE AND CONTENT OF A MAP USING DEEP LEARNING

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 17-24
Author(s):  
G. Touya ◽  
F. Brisebard ◽  
F. Quinton ◽  
A. Courtial
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Visually Impaired ◽  
The Other ◽  
Visually Impaired People ◽  
Impaired People ◽  
Tactile Maps

Abstract. Visually impaired people cannot use classical maps but can learn to use tactile relief maps. These tactile maps are crucial at school to learn geography and history as well as the other students. They are produced manually by professional transcriptors in a very long and costly process. A platform able to generate tactile maps from maps scanned from geography textbooks could be extremely useful to these transcriptors, to fasten their production. As a first step towards such a platform, this paper proposes a method to infer the scale and the content of the map from its image. We used convolutional neural networks trained with a few hundred maps from French geography textbooks, and the results show promising results to infer labels about the content of the map (e.g. ”there are roads, cities and administrative boundaries”), and to infer the extent of the map (e.g. a map of France or of Europe).

Use of Audio-Based Mobile Assistant for Reading Texts as Support for Blind Users

2020 ◽  
pp. 116-136
Author(s):  
Alfonso Sánchez Orea
Keyword(s):  
Visually Impaired ◽  
Labor Mobility ◽  
The Other ◽  
Original Version ◽  
Technological Solution ◽  
Mobile Platforms ◽  
Public And Private ◽  
Physical Mobility ◽  
Visually Impaired People ◽  
Impaired People

In order to give visually impaired people a greater degree of inclusion in society, it is necessary to consider not only aspects related to independence in their physical mobility but also in their intellectual and labor mobility. Currently if a blind person needs information from a book, it must be previously translated in Braille language; in addition, the person must know this language or in the absence there should be the audio version. Most public and private libraries do not currently have books in Braille versions or in their absence audio books, so getting the information to perform some task is complicated. On the other hand, translating books from their original version into Braille language or its audio version is a titanic and expensive task, so in the chapter, the authors propose a technological solution based on the mobile platforms for the blind to perform this task in the place and time necessary without more resources than a Smartphone.

Algorithms for Vein Image Enhancement and Matching in the Cloud IoT-Based M-Health Environment

2021 ◽  
pp. 95-124
Keyword(s):  
Feature Extraction ◽  
Image Enhancement ◽  
Hardware Architecture ◽  
Feature Extraction Algorithm ◽  
Image Enhancements ◽  
Extraction Algorithm ◽  
Different Types ◽  
Image Enhance ◽  
Hardware Designs ◽  
Language Description

In this chapter, the authors have described the methodologies to achieve the objectives of veins image enhancement, feature extractions, and matching with other veins images in the cloud IoT-based m-health environment. The initial steps to propose the algorithms for veins image enhance and feature extractions will have five parts. Once the proposed algorithm is written, the hardware architecture designs of the proposed veins image enhancements and feature extraction algorithm will be described by the authors. The hardware designs are presented in subsequent sections of this chapter. Further, the hardware designs are elaborated in detail for each of the techniques. The presented algorithms are implemented in MATLAB 11.0 software, and these algorithms are simulated and integrated with different veins sample images. The hardware designs of veins image enhancements and feature extractions are implemented using Verilog Hardware Language Description (VHLD), and these implemented results are simulated using MSA (Model-Sim-Altera) for sample images of different types of veins.

Caseload Size Survey of Agencies Serving Blind and Visually Impaired Persons

1986 ◽  
Vol 80 (4) ◽  
pp. 683-684
Author(s):  
Leroy H. Pelton
Keyword(s):  
Visually Impaired ◽  
Public And Private ◽  
Blind And Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People ◽  
Different Types ◽  
Visually Impaired Persons

A caseload size survey was conducted of both public and large private agencies serving blind and visually impaired people. Wide variations in caseload size were found between different types of professional caseworkers, between agencies, and between public and private agencies.

A New Method of Stair Markings for Visually Impaired People

1988 ◽  
Vol 82 (1) ◽  
pp. 24-27
Author(s):  
L. Sakamoto ◽  
E.B. Mehr
Keyword(s):  
Visually Impaired ◽  
The Other ◽  
New Method ◽  
Elderly Persons ◽  
Visually Impaired People ◽  
Age Related ◽  
Impaired People ◽  
Cataract Development ◽  
Group 2 ◽  
Group 1

Falls on stairs are a major hazard for elderly persons who are visually impaired. Stair marking is critical in making travel on stairs safe. Two groups of subjects with distinctly different visual impairments—group 1 having cataracts with healthy maculas; group 2 having age-related maculopathy with very little or no cataract development—were assessed to determine preference between two methods of marking stairways. Subjects were exposed to two identical stairways, one marked with traditional horizontal contrasting stripes, the other with a new method of three vertical stripes. Findings show that the newer method was preferred, with group 2 having a higher preference rate than group 1.

scholarly journals Feature extraction of tactile pictograms to support the movement of the visually impaired people

2021 ◽  
Vol 57 (Supplement) ◽  
pp. 2E1-5-2E1-5
Author(s):  
Kohei KURAKAMI ◽  
Aya SHIRAI ◽  
Tota MIZUNO ◽  
Naoaki ITAKURA ◽  
Kazuyuki MITO
Keyword(s):  
Feature Extraction ◽  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People

scholarly journals Deep Learning Based Indian Currency Detection for Visually Challenged using VGG16

2020 ◽  
Vol 9 (2) ◽  
pp. 769-972
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Visually Impaired ◽  
Convolution Neural Network ◽  
Visually Impaired People ◽  
Impaired People ◽  
Learning Technique ◽  
Different Types ◽  
Visually Challenged ◽  
Banknote Recognition

Banknote recognition is a major problem faced by visually Challenged people. So we propose a system to help the visually Challenged people to identify the different types of Indian currencies through deep learning technique. In our proposed project, bank notes with different positions are directly fed into VGG 16, a pretrained model of convolution neural network which extracts deep features. From our work the visually impaired people will be able to recognize different types if Indian Currencies.

A Comparison of the Sexual Learning Experiences of Visually Impaired and Sighted Women

1983 ◽  
Vol 77 (6) ◽  
pp. 256-259 ◽  
Author(s):  
Ann Welbourne ◽  
Sylvia Lifschitz ◽  
Hanan Selvin ◽  
Richard Green
Keyword(s):  
Sex Education ◽  
Visually Impaired ◽  
Learning Experiences ◽  
The Other ◽  
Development Pattern ◽  
Behavior Development ◽  
Visually Impaired People ◽  
Impaired People ◽  
Sex Knowledge ◽  
Sexual Learning

Compares the sexual learning experiences of 39 visually impaired women with a matched group of sighted women. Visually impaired women had significantly lower sex knowledge scores, and obtained their information at a somewhat later age. The visually impaired women followed a sexual behavior development pattern similar to that of the sighted women, except for a later age of experience with sexual inter-course, despite the fact that totally blind women reached puberty at an earlier age than the other women. Includes participants’ recommendations for improving sex education for visually impaired people.

Sonar Assistive Device for Visually Impaired People

2015 ◽  
Vol 73 (6) ◽  
Author(s):  
Muhammad Haziq Kamaludin ◽  
Nasrul Humaimi Mahmood ◽  
Abd Hamid Ahmad ◽  
Camallil Omar ◽  
Masdinah Alauyah Md Yusof
Keyword(s):  
Visually Impaired ◽  
Ultrasonic Sensor ◽  
Assistive Device ◽  
Visually Impaired People ◽  
Hands On ◽  
Impaired People ◽  
Different Types ◽  
Reflected Signal

An affordable sonar assistive device was developed to facilitate the visually impaired people to walk inside or outside their homes. The device uses a sonar technology where each ultrasonic sensor consists of a transmitter and a receiver. The transmitter will transmit a signal to an obstacle in front of it and when the signal reaches an obstacle, the signal is reflected back. The reflected signal is then received by the receiver. The system of Arduino Pro Mini will then evaluate the echo to identify the presence t of the obstacles. This ultrasonic sensor can detect obstacles as far as 4 meters. Hands-on testing was conducted to identify visually impaired people needs and to provide them an opportunity to use the device. The users were interviewed to find out about their experience. The results clearly show that 90% of the users were satisfied with the features of the device and they were also confident of using the device to detect different types of obstacles.

Application of IoT Based Stick for Visually Impaired People in CVIS System

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Ammar Muhammad ◽  
Qizhou Hu ◽  
Muhammad Tayyab ◽  
Yikai Wu ◽  
Muhammad Ahtsham
Keyword(s):  
Visually Impaired ◽  
Visually Impaired People ◽  
Impaired People
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