Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Euisun Choi"'
Autor:
Daeho Min, Minsoo Han, Juno Kim, Kangsan Lee, Kyeongbin Lim, Euisun Choi, Seung Dae Seok, Byeongjun Lee, Minwoo Daniel Rhee
Publikováno v:
ASME 2022 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems.
This paper focuses on numerical computation and experimental examination of Bernoulli picker, which is the essential module for the 3D stacking process for heterogeneous integration devices, to reveal the fundamental physics of non-contact die handli
Publikováno v:
Digital Signal Processing. 78:294-304
In this paper, we propose counterfeit banknote detection algorithms using low resolution multispectral images. It has become increasingly difficult to detect professionally produced counterfeit banknotes, so more sophisticated features have had to be
Publikováno v:
Multimedia Tools and Applications. 76:21423-21450
Paper checks may have complex background features including fine lines and patterns, which make forgery more difficult. Also, halftoning techniques are used to produce continuous tones and to prevent copies with void pantograph features. When these k
Publikováno v:
Neurocomputing. 156:22-32
In this paper, we propose a fast and efficient algorithm to classify multi-national banknote images using size information and multi-template correlation matching. Since different banknotes have different sizes, this information was considered to be
Publikováno v:
ICCE
This paper presents a soiled banknote determination method based on morphology and Otsu's thresholding method. Using morphology, a texture image was extracted with selective morphological closing operations, and the soiling level was estimated by ave
Publikováno v:
Image Processing: Algorithms and Systems
Autor:
Euisun Choi, Chulhee Lee
Publikováno v:
Pattern Recognition. 36:1703-1709
The authors propose a feature extraction method based on the Bhattacharyya distance. Recently, it has been reported that an accurate estimation of classification error is possible using the Bhattacharyya distance. In the proposed method, the authors
Publikováno v:
IEEE Transactions on Speech and Audio Processing. 11:80-87
We propose a method to minimize the loss of information during the feature extraction stage in speech recognition by optimizing the parameters of the mel-cepstrum transformation, a transform which is widely used in speech recognition. Typically, the
Autor:
Euisun Choi, Chulhee Lee
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 38:1471-1475
The authors investigate the relationship between the classification error and the Bhattacharyya distance of two normally distributed classes and propose a new equation that provides an accurate error estimation for the Gaussian ML classifier. With th
Publikováno v:
2013 4th International Conference on Intelligent Systems, Modelling and Simulation.
In this paper, we present a fast algorithm for country classification of banknotes. The algorithm can be used as an initial step for conventional banknote classification methods developed for a single currency in multi-country environment. We assume