Emblematical image based pattern recognition paradigm using Multi-Layer Perceptron Neural Network
IOSR Journal of Computer Engineering (IOSR-JCE), e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 6, Ver. II (Nov – Dec. 2015), PP 59-66.
The abstract Likewise human brain machine can be signifying diverse pattern sculpt that is proficiently identify an image based object like optical character, hand character image, fingerprint and something like this. To present the model of image based pattern recognition perspective by a machine, different stages are associated like image acquiring from the digitizing image sources, preprocessing image to remove unwanted data by the normalizing and filtering, extract the feature to represent the data as lower dimension space and at last return the decision using Multi-Layer Perceptron neural network that is feed feature vector from got the feature extraction process of a given input image. Performance observation complexity is discussed rest of the description of pattern recognition model. Our goal of this paper is to introduced symbolical image based pattern recognition model using Multi-Layer Perceptron learning algorithm in the field of artificial neural network (like as human-like-brain) with best possible way of utilizing available processes and learning knowledge in a way that performance can be same as human.