Now showing items 1-7 of 7
Katakana character recognition using neural networks
This thesis presents a new preprocess1ng model for character recognition and simulation experiments. The goal of the model is to recognize Japanese Katakana characters by dealing with segments having vectors with 9 ...
Recognition of handwritten letters using a locally connected back-propagation neural network
(Texas Tech University, 1991-05)
Phase response characterization of object similarity using the Kohonen model
(Texas Tech University, 1998-05)
A perceptron-based optical quadratic neural network using a photorefractive crystal
An optical quadratic neural network (OQNN) utilizing four-wave mixing in barium titanate (BaTi03 ) has been investigated and developed. This network implements a feedback loop using a charged-coupled device (CCD) camera, ...
Neural network classification of handwritten characters using an adaptive input window
Higher-order neural networks for invariant pattern recognition
This study investigated recognition of translated, scaled and rotated patterns using third-order neural networks. Neural networks exhibit poor performance if the input image is transformed by one or a combination of ...