A simple yet powerful technique for selecting features to be used in a pattern recognition system has been devised and applied to an eight-class character recognition problem using a set of 19 000 typed character samples as a data base. High-order joint probabilities have been directly estimated from the data base, thus making it possible to take into account in the feature selection process th...

In this paper a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines 24 facial fiducial points, and characterizes them applying a bank of Gabor filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. Th...

The paper proposes a novel, pose-invariant face recognition system based on a deformable, generic 3D face model, that is a composite of: (1) an edge model, (2) a color region model and (3) a wireframe model for jointly describing the shape and important features of the face. The 4rst two submodels are used for image analysis and the third mainly for face synthesis. In order to match the model t...

In pattern recognition, it is often necessary to deal with problems to classify a transformed pattern. A neural pattern recognition system which is insensitive to rotation of input pattern by various degrees is proposed. The system consists of a fixed invariance network with many slabs and a trainable multilayered network. The system was used in a rotation-invariant coin recognition problem to ...

A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The sys...

The patterns in collections of real world objects are often not based on a limited set of isolated properties such as features. Instead, the totality of their appearance constitutes the basis of the human recognition of patterns. Structural pattern recognition aims to find explicit procedures that mimic the learning and classification made by human experts in well-defined and restricted areas o...

In all fields of pattern recognition there may arise situations where severe distortions of the sensor data or errors of processing prevent a successful analysis. This is especially true in speech recognition. Therefore, a speech understanding system can not rely on being able to interpret the whole or even a given fixed percentage of the input data. Rather a dynamic criterion has to be applied...

Online Chinese handwriting recognition has attracted much research attention recently due to its complexity, wide-spread applications and emerging market demands. This material serves as a guide for pattern recognition researchers who have limited or no background in this language. We provide a brief review of the nature of the problem and challenges of online Chinese handwritten character reco...

Kernel Discriminant Analysis (KDA) has been successfully applied to many pattern recognition problems. KDA transforms the original problem into a space of dimension N where N is the number of training vectors. For speech recognition, N is usually prohibitively high increasing computational requirements beyond current computational capabilities. In this paper, we provide a formulation of a subsp...