Results 31 to 40 of about 1,702,697 (182)
: Automated banknote recognition systems are essential for people with visual impairments who face challenges distinguishing between different currency denominations.
An International +4 more
semanticscholar +1 more source
MBDM: Multinational Banknote Detecting Model for Assisting Visually Impaired People
With the proliferation of smartphones and advancements in deep learning technologies, object recognition using built-in smartphone cameras has become possible.
Chanhum Park, Kang Ryoung Park
doaj +1 more source
Money transactions can be performed by automated self-service machines like ATMs for money deposits and withdrawals, banknote counters and coin counters, automatic vending machines, and automatic smart card charging machines.
Dereje Tekilu Aseffa +2 more
semanticscholar +1 more source
Analysis of Architectural Images in Banknotes of the Islamic Republic of Iran [PDF]
Architecture is one of the oldest Iranian arts. It has a special place in the history and studies of art. Ancient Iranian architectural works and traditional and Islamic architectural buildings constitute a major part of the valuable treasure of world ...
Sahar Toofan
doaj +1 more source
Robust and Effective Banknote Recognition Model for Aiding Visual Impaired People
Info 2021 Visual disabled Ethiopians find great difficulty in recognizing banknotes. Each Ethiopian banknote has an identical feel, with no Braille markings, irregular edges, or other tangible features that make it easily recognizable by blind persons ...
Asfaw Alene Shefraw
semanticscholar +1 more source
Banknote Image Retrieval Using Rotated QuaternionWavelet Filters [PDF]
A new method of banknote image retrieval is proposed by using new set of rotated quaternion wavelet filters (RQWF) and standard quaternion wavelet transform (QWT) jointly.
Shan Gai, Jiafeng Liu, Xianglong Tang
doaj +1 more source
A Graph-Based Semi-Supervised k Nearest-Neighbor Method for Nonlinear Manifold Distributed Data Classification [PDF]
$k$ Nearest Neighbors ($k$NN) is one of the most widely used supervised learning algorithms to classify Gaussian distributed data, but it does not achieve good results when it is applied to nonlinear manifold distributed data, especially when a very ...
Kasabov, Nikola +4 more
core +2 more sources
Authentication of Counterfeit Hundred Ringgit Malaysian Banknotes Using Fuzzy Graph Method
A banknote is a currency issued by a country, and it was first introduced in the 16th century. The counterfeiting of banknotes by cunning criminals became a great challenge with the current advanced technology.
Nurfarhana Hassan +7 more
doaj +1 more source
GC3558: An open-source annotated dataset of Ghana currency images for classification modeling
The field of deep learning has led to remarkable advancements in many areas, including banking. Identifying currency denomination type and model is challenging due to intraclass variation and different illumination conditions.
Kwabena Adu +6 more
doaj +1 more source
Automatic recognition of banknotes is applied in payment facilities, such as automated teller machines (ATMs) and banknote counters. Besides the popular approaches that focus on studying the methods applied to various individual types of currencies ...
Tuyen Danh Pham +2 more
doaj +1 more source

