Evaluation of Two Neocognitron-type Models for Recognition of Rotated Patterns
نویسندگان
چکیده
We examine the number of cells and execution time taken to correctly recognize rotated patterns in two models: a rotation-invariant neocognitron (RNeocognitron) and a neocognitron-type model (TDR-Neocognitron) which recognizes rotated patterns by use of an associative recalled pattern. In numerical simulations handwritten patterns in CEDER database are used for training and evaluation of recognition rate. We show that TD-R-Neocognitron needs less cells than R-Neocognitron if the number of pattern classes is large. Execution time by TDR-Neocognitron is about three times as much as that of R-Neocognitron, but TD-R-Neocognitron is more effective and efficient for patterns including many classes like Japanese characters.
منابع مشابه
Neocognitron for rotated pattern recognition
Ideally computer pattern recognition systems should be insensitive to scaling, translation, distortion and rotation. Many neural network models have been proposed to address this purpose. The Neocognitron is a multi-layered neural network model for pattern recognition introduced by Fukushima in the early 1980s. It was considered effective and, after supervised learning, it can recognise input p...
متن کاملRecognition of rotated patterns using neocognitron
A rotation-invariant neocognitron is constructed by extending the neocognitron which can recognize translated, scaled and/or distorted patterns from training ones. In constructing the model two technical methods during the learning, a “threshold-controlling method” and a “rotation matrix method”, are proposed. In numerical simulations, it is shown that the model can recognize globally and/or lo...
متن کاملPattern 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 processes: (i) one is a bottom-up process in which pattern recognition is realized by means of a rotation-invariant neocognitron and a standard neocognitron and (ii) the other is a top-do...
متن کاملNeocognitron: A hierarchical neural network capable of visual pattern recognition
-A neural network model for visual pattern recognition, called the "neocognitron, "' was previously proposed by the author In this paper, we discuss the mechanism of the model in detail. In order to demonstrate the ability of the neocognitron, we also discuss a pattern-recognition system which works with the mechanism of the neocognitron. The system has been implemented on a minicomputer and ha...
متن کاملNoise tolerance in a Neocognitron-like network
The Neocognitron and its related hierarchical models have been shown to be competitive in recognizing handwritten digits and objects. However, the tolerance of these models to several types of noise can be low. We will start by briefly overviewing some previous results regarding the tolerance of these models. Afterwards, we report the higher noise tolerance of the winner-take-all response in a ...
متن کامل