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Wyszukujesz frazę "recognition," wg kryterium: Temat


Wyświetlanie 1-13 z 13
Tytuł:
An attempt to improve Eigenface algorithm efficiency for colour images
Autorzy:
Orczyk, T.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333031.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznanie twarzy
filtrowanie kolorowe
face recognition
PCA
eigenface
colour filtering
Opis:
This article presents an attempt to improve Eigenface algorithm efficiency by using image pre–filtering in order to eliminate background areas of the picture and illumination influence. The background is treated as noise, so when noise is present then efficiency of the algorithm decreases. In order to eliminating this inconvenience, analysed image is pre–filtered by means of the colour classifier. The classifier eliminates pixels which have different colour than an average human skin colour on a digital photo. This causes that the Eigenface algorithm is less sensitive to background noise. The illumination influence was minimized by using hue information instead of traditionally used luminance. The main advantage of the proposed approach is possibility of using in environments where diverse image background texture and scene illumination appears. The eigenfaces technique can be applied in handwriting analysis, voice recognition, hand gestures interpretation and medical imaging.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 16; 201-207
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Signatures recognition method by using the normalized Levenshtein distances
Autorzy:
Doroz, R.
Wróbel, K.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333029.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
właściwości dynamiczne
odległość Levenshteina
signature recognition
dynamic features
Levenshtein distance
Opis:
This study examines the effectiveness of normalized Levenshtein metrics in the process of recognition of handwritten signatures. Three methods of normalization of the Levenshtein metric were taken into consideration. In addition, it was determined, which signature features are most important during their comparisons with the use of the aforementioned metric. The following signature features were examined: coordinates of signature points, pen pressure in successive points, and different types of pen speed. The influence of individual parameters of the Levenshtein algorithm on the obtained results was also determined, and the best method of normalization was selected.
Źródło:
Journal of Medical Informatics & Technologies; 2009, 13; 73-77
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Word extraction method in human speech processing
Autorzy:
Porwik, P.
Proksa, R.
Powiązania:
https://bibliotekanauki.pl/articles/333377.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie mowy
wykrywanie słów
słowa wyodrębnione
voice recognition
word detection
isolated words
Opis:
A major problem in isolated-word speech recognition systems is detection of the beginning and ending boundaries of the word. It is an essential of speech recognition algorithms, where signal speech segments should be reliably separated. During speech recognition background noise is also recorded, hence the word isolation is difficult. The parametric representation of the speech must provide enough information to characterize the words and to differentiate between acoustically similar words. In this paper the method of words extraction from human speech will be considered.
Źródło:
Journal of Medical Informatics & Technologies; 2008, 12; 209-216
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Biometric recognition system based on the motion of the human body gravity centre analysis
Autorzy:
Porwik, P.
Zyguła, J.
Doroz, R.
Proksa, R.
Powiązania:
https://bibliotekanauki.pl/articles/333932.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
dane biometryczne
środek ciężkości
podpis
rozpoznawanie
biometrics
centre of gravity
signature
recognition
Opis:
In this paper we present a novel approach that enables the determination and measurement of important features associated with the human body movement. This information can be used in the construction of a biometric personal identification system. Biometrics is, essentially, a pattern recognition system based on measurements of unique physiological or behavioural features as acquired from an individual. The domain of biometric techniques is currently placed within recently developed disciplines of science. Biometry or biometrics is simply defined as automatically recognizing a person using distinguishing traits and is widely used in various security systems. Biometry can be defined as a method of personal identification based on individuals' physical and behavioural features. Physiological biometrics covers data coming directly from a measurement of part of a human body, for example a fingerprint, the shape of the face, or from the retina. Behavioural biometrics analyses data obtained on the basis of an activity performed by a given person, for example speech and the handwritten signature. The system of biometrics defined above can now be expanded, and a new biometrics system can be considered. In our approach, human foot pressure on a surface is measured and the pressure data retrieved. The pressure parameters are collected without the necessity of any movements of the feet.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 15; 61-69
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
On-line signature recognition method based on linear regression
Autorzy:
Para, T.
Porwik, P.
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/333740.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
metoda DTW
regresja liniowa
signature recognition
DTW method
linear regression method
Opis:
Nowadays, automatic signature verification is an active area of researches in numerous applications such as bank check verification, access restriction or special areas such as police investigations. In our researches signature was captured by Topaz SigLite T-LBK750-HSB device, where some dynamic features of signature can be also registered. In many transactions, the electronic verification of a person's identity is beneficial, hence it inspires the development of a wide range of automatic identification systems. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.
Źródło:
Journal of Medical Informatics & Technologies; 2007, 11; 97-104
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The pixel alignment based algorithm for continuous orientation field estimation
Autorzy:
Więcław, Ł.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333928.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie odcisków palców
obraz kierunkowy
orientacja pola
fingerprint recognition
directional image
orientation field
Opis:
This paper presents a new estimation method of fingerprint orientation field. An accurate estimation of fingerprint orientation fields is an essential step in automatic fingerprint recognition systems (AFIS). Most popular, gradient-based method is very sensitive to noise (image quality). Proposed algorithm is a modification of, more resistant to noise, mask-based method, which provides orientation limited to discrete values. This modification is based on aggregation of pixel values differentiation and was used to more precise estimation of magnitude of orientation vectors. This approach allows to obtain a continuous values of orientation field still maintaining robust to noise.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 15; 47-52
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of methods of statistical analysis in signature recognition system based on Levenshtein distance
Autorzy:
Pałys, M.
Doroz, R.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333624.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
znormalizowana odległość Levenshteina
wybór funkcji
signature recognition
normalized Levenshtein distance
feature selection
Opis:
The study being presented is a continuation of the previous studies that consisted in the adaptation and use of the Levenshtein method in a signature recognition process. Three methods based on the normalized Levenshtein measure were taken into consideration. The studies included an analysis and selection of appropriate signature features, on the basis of which the authenticity of a signature was verified later. A statistical apparatus was used to perform a comprehensive analysis. The independence test ◈ was applied. It allowed determining the relationship between signature features and the error returned by the classifier.
Źródło:
Journal of Medical Informatics & Technologies; 2012, 21; 67-73
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Combined off-line type signature recognition method
Autorzy:
Porwik, P.
Para, T.
Smacki, Ł.
Żuławiński, S.
Powiązania:
https://bibliotekanauki.pl/articles/333578.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie podpisu
transformata Hough'a
przetwarzanie wstępne
identyfikacja osoby
signature recognition
Hough transform
preprocessing
persons identification
Opis:
In this paper the off-line type signature analysis have been presented. The signature recognition is composed of some features. Different influences of such features were tested and stated. Proposed approach gives good signature recognition level, hence described method can be used in many areas, for example in biometric authentication, as biometric computer protection or as method of the analysis of person's behaviour changes.
Źródło:
Journal of Medical Informatics & Technologies; 2006, 10; 81-90
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The dedicated decision support system in recognition of some uncertain disease entities
Autorzy:
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/333041.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie obrazu
klasyfikacja danych
sieci neuronowe
systemy wspomagania decyzji
image recognition
data classification
neural network
decision support systems
Opis:
This work presents the principles of image recognition, where quality-based methods are applied. The neural networks and additional software have been proposed. This goal was achieved by using non-parametric recognition algorithms. In this paper the two-state hybrid classification method has been proposed, where artificial intelligence algorithm is included. In recognition process, the learning method, selection and optimization of diagnostic parameters have been introduced. The integrated part of the classifier structure is voting mechanism, which indicates incorrect states of the system – for example the unrecognized images. Effectiveness of the system has been shown by means of examples, where ambiguous data have been incorporated – it is very often a practice of medical diagnostics.
Źródło:
Journal of Medical Informatics & Technologies; 2009, 13; 97-100
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The lip print recognition using Hough transform
Autorzy:
Smacki, Ł.
Porwik, P.
Tomaszycki, K.
Kwarcińska, S.
Powiązania:
https://bibliotekanauki.pl/articles/333892.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
rozpoznawanie ludzkich ust
cheiloskopia
dane biometryczne
przekształcanie Hougha
wydruk wargi
human lips recognition
cheiloskopy
biometrics
Hough transform
lip print
Opis:
This paper presents the new method of lip print recognition. Lip print analysis is based on sulcus-topology features manifested on human lips. The structure of the characteristic lip lines is transformed to a digital image and classified using the Hough transformation. The proposed algorithm gives good level of recognition accuracy and can be used in biometric applications and applied in forensic services.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 14; 31-38
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An accurate fingerprint reference point determination method based on curvature estimation of separated ridges
Autorzy:
Doroz, R.
Wrobel, K.
Porwik, P.
Powiązania:
https://bibliotekanauki.pl/articles/331403.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
biometrics
image processing
fingerprint recognition
Kolmogorov–Smirnov statistical test
reference point
biometria
przetwarzanie obrazu
rozpoznawanie linii papilarnych
test statystyczny
punkt odniesienia
Opis:
This paper presents an effective method for the detection of a fingerprint’s reference point by analyzing fingerprint ridges’ curvatures. The proposed approach is a multi-stage system. The first step extracts the fingerprint ridges from an image and transforms them into chains of discrete points. In the second step, the obtained chains of points are processed by a dedicated algorithm to detect corners and other points of highest curvature on their planar surface. In a series of experiments we demonstrate that the proposed method based on this algorithm allows effective determination of fingerprint reference points. Furthermore, the proposed method is relatively simple and achieves better results when compared with the approaches known from the literature. The reference point detection experiments were conducted using publicly available fingerprint databases FVC2000, FVC2002, FVC2004 and NIST.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 1; 209-225
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Signature pre - procesing based on walsh coefficients
Autorzy:
Porwik, P.
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/332876.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
analiza graficzna
rozpoznawanie podpisu
transformacja Walsha
współczynniki Walsha
maszyna wektorów podpierających
signature analysis and recognition
Walsh transform
Walsh coefficients
support vector machine (SVM)
Opis:
Recognition and verification of persons are difficult and important tasks today. In many fields of human activities (driver's licenses, passports, electronic cards, etc.), signature recognition of person is needed. Hence, it inspires the development of a wide range of automatic identification systems. Signatures have been used for many centuries as a method of people's identification. Signatures recognition was performed manually by experts in the past. Nowadays, these procedures are very often automatically applied. In this paper the system that automatically authenticates documents based on the owner's handwritten signature is presented.
Źródło:
Journal of Medical Informatics & Technologies; 2008, 12; 57-61
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Classification techniques for non-invasive recognition of liver fibrosis stage
Autorzy:
Krawczyk, B.
Woźniak, M.
Orczyk, T.
Porwik, P.
Musialik, J.
Błońska-Fajfrowska, B.
Powiązania:
https://bibliotekanauki.pl/articles/332969.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
uczenie maszynowe
systemy wielo-klasyfikatorów
informatyka medyczna
zwłóknienie wątroby
wirusowe zapalenie wątroby typu C
machine learning
multiple classifier systems
compound pattern recognition
medical informatics
liver fibrosis
hepatitis C
Opis:
Contemporary medicine should provide high quality diagnostic services while at the same time remaining as comfortable as possible for a patient. Therefore novel non-invasive disease recognition methods are becoming one of the key issues in the health services domain. Analysis of data from such examinations opens an interdisciplinary bridge between the medical research and artificial intelligence. The paper presents application of machine learning techniques to biomedical data coming from indirect examination method of the liver fibrosis stage. Presented approach is based on a common set of non-invasive blood test results. The performance of four different compound machine learning algorithms, namely Bagging, Boosting, Random Forest and Random Subspaces, is examined and grid search method is used to find the best setting of their parameters. Extensive experimental investigations, carried out on a dataset collected by authors, show that automatic methods achieve a satisfactory level of the fibrosis level recognition and may be used as a real-time medical decision support system for this task.
Źródło:
Journal of Medical Informatics & Technologies; 2012, 20; 121-127
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-13 z 13

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