Pattern Recognition for Event - Type Identification in the SNO Detector

Three Methods for Event - Type Identification in the SNO Detector

Evaluation of the Parameters Involved in the Iris Recognition System

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...

The Results of a Neural Network Statistical Event Class Analysis SNO

Using a neural network technique, this paper shows that hit pattern recognition can identify electron scattering, charged, and neutral current event rates to a statistical accuracy of between 2 and 7% with only one year of salt fill data. Similar performance is also achieved with one year of pure DzO data. A study of the suspected dominant systematic is made and indicates that this uncertainty ...

Aircraft Visual Identification by Neural Networks

In the present paper, an efficient method for three dimensional aircraft pattern recognition is introduced. In this method, a set of simple area based features extracted from silhouette of aerial vehicles are used to recognize an aircraft type from its optical or infrared images taken by a CCD camera or a FLIR sensor. These images can be taken from any direction and distance relative to the fly...

Pattern Recognition in Control Chart Using Neural Network based on a New Statistical Feature

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural netw...