Logo Matching Technique Based on Principle Component Analysis

Of the problem areas, the domain of matching complex objects has received, by far, the most attention. This research work is concerned with the specific class of complicated objects, i.e. logo. The progress, particularly in this field, is still at extensive research work level, due to infinite varieties of shapes and classes which are used. Essentially, the algorithm proposed is based on Principle Component Analysis (PCA) approach. In this technique, the PCA is used to extract the features, kept inherent in the normalized pattern for later matching process. In the matching process, the extracted features of unknown pattern are mapped onto formulated feature spaces, and the distance between the source symbol and modeled symbols is used as a decision making tool. The true matching rate of 100% has been achieved for hundreds tested logos. Index Term-ex Object Matching, Feature Extraction, Principle Component analysis, Euclidean Distance