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Chapter and Conference Paper
Tooth shape reconstruction from dental micro CT images
In this study, we propose a reconstruction method for obtaining a 3-dimensional shape of a tooth from dental micro CT images. An initial outline of a tooth is obtained from a CT image of a tooth that erupted f...
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Article
Character pattern extraction from documents with complex backgrounds
Recent remarkable progress in computer systems and printing devices has made it easier to produce printed documents with various designs. Text characters are often printed on colored backgrounds, and sometime...
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Chapter and Conference Paper
A Neural Network Model for Pattern Recognition Based on Hypothesis and Verification with Moving Region of Attention
We present a neural network model for pattern recognition which works successfully even if only a part of a pattern is presented on the retina. During the recognition process, (i) local features are extracted,...
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Chapter and Conference Paper
Asymmetric Gaussian and Its Application to Pattern Recognition
In this paper, we propose a new probability model, ‘asymmetric Gaussian(AG),’ which can capture spatially asymmetric distributions. It is also extended to mixture of AGs. The values of its parameters can be de...
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Chapter and Conference Paper
A Method to Estimate the True Mahalanobis Distance from Eigenvectors of Sample Covariance Matrix
In statistical pattern recognition, the parameters of distributions are usually estimated from training sample vectors. However, estimated parameters contain estimation errors, and the errors cause bad influen...
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Chapter and Conference Paper
Neocognitron-Type Network for Recognizing Rotated and Shifted Patterns with Reduction of Resources
A rotation-invariant neocognitron was proposed by authors for recognition of rotated patterns. In this paper, we propose a new network in order to reduce the number of cells for the same purpose. The new netwo...
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Chapter and Conference Paper
A New Approximation Method of the Quadratic Discriminant Function
For many statistical pattern recognition methods, distributions of sample vectors are assumed to be normal, and the quadratic discriminant function derived from the probability density function of multivariate...
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Article
Extracting curved text lines using local linearity of the text line
In order to enhance the ability of document analysis systems, we need a text line extraction method which can handle not only straight text lines but also text lines in various shapes. This paper proposes a n...
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Chapter and Conference Paper
An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network
We have proposed a method to acquire speech recognition units automatically. From the experimental results, vowel-consonant type acoustic segments were obtained.
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Chapter and Conference Paper
Pattern recognition system with top-down process of mental rotation
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotation. The model has two types of...
