Add to ORKGAn algorithm for distorted pattern recognition is presented. lt's generalization of M Flasinski results (Pattern Recognition, 27, 1-16, 1992). A new formalism allows to make both qualitative and quantitive distortion analysis. It also enlarges parser flexibility by extending the set of patterns which may be recognized
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...
An algorithmfor distortedpattern recognition ispresented. It's generalization ofM. Flasiń- ski resul...
An algorithmfor distortedpattern recognition ispresented. It's generalization ofM. Flasiń- ski resul...
In syntactic pattern recognition a pattern can be represented by a graph. Given an unknown pattern r...
The process of syntactic pattern recognition consists of two main phases. In the first one the symbo...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
The definition of Chebyshev-Fourier moments(CHFM) was given, and the performance of CHFM was investi...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
This report describes a two layered pattern recognition program. The first layer scans an input for ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...
An algorithmfor distortedpattern recognition ispresented. It's generalization ofM. Flasiń- ski resul...
An algorithmfor distortedpattern recognition ispresented. It's generalization ofM. Flasiń- ski resul...
In syntactic pattern recognition a pattern can be represented by a graph. Given an unknown pattern r...
The process of syntactic pattern recognition consists of two main phases. In the first one the symbo...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
The definition of Chebyshev-Fourier moments(CHFM) was given, and the performance of CHFM was investi...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
[[abstract]]A pattern deformational model is proposed in this paper. Pattern deformations are catego...
This report describes a two layered pattern recognition program. The first layer scans an input for ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper, we examine the main advances registered in the last ten years in Pattern Recognition ...
In this paper we try to examine recent trends on the use of graph-based representations in Pattern R...