Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dmitry P. Nikolaev"'
Publikováno v:
Journal of Communications Technology and Electronics. 64:846-853
—Deep Artificial Neural Networks (ANNs) achieve state-of-art performance in many computer vision tasks; however, their applicability in the industry is significantly hindered by their high computational complexity. In this paper we propose a model
Publikováno v:
Компьютерная оптика, Vol 45, Iss 5, Pp 692-701 (2021)
The demand for on-device document recognition systems increases in conjunction with the emergence of more strict privacy and security requirements. In such systems, there is no data transfer from the end device to a third-party information processing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42967bc03aa4765559b9c6bd60a3ca6c
Publikováno v:
ICMV
Computer vision systems based on convolutional neural networks are being rapidly introduced in the field of precision agriculture to solve the problem of scene recognition. Convolutional networks allow performing high-precision recognition, but a sig
Autor:
Simon M. Karpenko, Dmitry P. Nikolaev, Ivan Konovalenko, Boris M. Miller, Alexander B. Miller
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 12
Pages 29802-29820
Sensors; Volume 15; Issue 12; Pages: 29802-29820
Sensors, Vol 15, Iss 12, Pp 29802-29820 (2015)
Sensors
Volume 15
Issue 12
Pages 29802-29820
Sensors; Volume 15; Issue 12; Pages: 29802-29820
Sensors, Vol 15, Iss 12, Pp 29802-29820 (2015)
The article presents an approach to the control of a UAV on the basis of 3D landmark observations. The novelty of the work is the usage of the 3D RANSAC algorithm developed on the basis of the landmarks’ position prediction with the aid of a modifi
Autor:
D. A. Zolotov, Victor E. Asadchikov, Alexey Buzmakov, Marina Chukalina, Ivan Yakimchuk, Anastasia Ingacheva, Andrey Gladkov, Dmitry P. Nikolaev
Publikováno v:
ICMV
Digital X-ray imaging became widely used in science, medicine, non-destructive testing. This allows using modern digital images analysis for automatic information extraction and interpretation. We give short review of scientific applications of machi
Publikováno v:
ICMV
In this paper, we introduce slant detection method based on Fast Hough Transform calculation and demonstrate its application in industrial system for Russian passports recognition. About 1.5% of this kind of documents appear to be slant or italic. Th
Publikováno v:
ICMV
In this paper, we propose an expansion of convolutional neural network (CNN) input features based on Hough Transform. We perform morphological contrasting of source image followed by Hough Transform, and then use it as input for some convolutional fi
Publikováno v:
ICMV
Periodic patterns often present on document images as holograms, watermarks or guilloche elements which are mostly used for fraud protection. Localization of such patterns lets an embedded OCR system to vary its settings depending on pattern presence
Publikováno v:
ICMV
In this paper we consider a task of finding information fields within document with flexible form for credit card expiration date field as example. We discuss main difficulties and suggest possible solutions. In our case this task is to be solved on
Publikováno v:
ICMV
In this paper an improvement possibility of multilayer perceptron based classifiers with using composite classifier scheme with predictor function was exploited. Recognition of embossed number characters on plastic cards in the image taken by mobile