Results 131 to 140 of about 1,487,717 (179)

Dansyl fluorophore functionalized hierarchically structured mesoporous silica nanoparticles as novel latent fingerprint development agents. [PDF]

RSC Adv
Oliveira LFAM, da Silva LVAT, Sonsin AF, Alves MS, Costa CV, Melo JCS, Ross N, Wady PT, Zinn T, do Nascimento TG, Fonseca EJS, de Assis AML, Hillman AR, Ribeiro AS.   +13 more
europepmc   +1 more source

A systematic review of sensors to combat crime and routes to further sensor development. [PDF]

Front Chem
Cozens AE, Johnson SD, Lee TC.
europepmc   +1 more source

Trait anxiety is associated with reduced reward-related replay at rest. [PDF]

Nat Commun
Yu Q, Luo YJ, Dolan R, Ou J, Huang C, Wang H, Xiao Z, Nour M, Liu Y.   +8 more
europepmc   +1 more source

Benchmarking quantum versions of the kNN algorithm with a metric based on amplitude-encoded features. [PDF]

Sci Rep
Guerrero-Estrada AY, Quezada LF, Sun GH.
europepmc   +1 more source

Ancient Bengal numismatic dataset of Vanga Janapada, Gauda, Samatata, and Harikela coinage. [PDF]

Data Brief
Mamoon IA, Islam A, Laisa WH, Sufian A, Moula G, Gain SK, Dango T, Ahmed A, Kabir S, Nasir N, Islam AKMM.   +10 more
europepmc   +1 more source

Banknote Recognition as a CBIR Problem

, 2015
Automatic banknote recognition is an important aid for visually impaired users, which may provide a complementary evidence to tactile perception. In this paper we propose a framework for banknote recognition based on a traditional Content-Based Image Retrieval pipeline: given a test image, we first extract SURF features, then adopt a Bag of Features ...
SOSA GARCIA, JOAN, ODONE, FRANCESCA
openaire   +4 more sources

On the design of embedded solutions to banknote recognition

Optical Engineering, 2013
Banknote recognition systems have many applications in the modern world of automatic monetary transaction machines. They are tradi- tionally based on simple classifiers applied over manually selected areas. A new solution in this field, borrowed by content-based image retrieval (CBIR), which is based on dense scale-invariant feature transform fea ...
Adnan Rashid, PRATI, Andrea, Rita Cucchiara   +2 more
openaire   +6 more sources

Some of the next articles are maybe not open access.

Related searches:

Recognition of Mexican banknotes via their color and texture features

Expert Systems With Applications, 2012
Highlights? Color and texture are modeled with the RGB space and LBP method, respectively. ? High recognition rates are obtained, even on mistreated banknotes. ? Low computational load and color extraction is rotation invariant. ? The proposed approach can be applied to classify banknotes of different countries. ?
Asdrúbal López Chau, Farid García-Lamont, Jair Cervantes   +2 more
exaly   +3 more sources

Adversarial Attacks in Banknote Recognition Systems

2021 4th International Conference on Data Storage and Data Engineering, 2021
Numerous computer vision algorithms have been designed to help detect the values of the paper banknotes for blind and visually impaired individuals. Previous algorithms relied mostly on traditional methods that are less efficient, accurate, and transferable than a convolutional neural network.
Hangyu Liu, Haoyang Cai
openaire   +2 more sources