Genetic Algorithm Based Dot Pattern Image Processing
Purshottam J. Assudani, Latesh Malik · 2012
Dot pattern analysis and matching is necessary for many of the image analysis and pattern recognition problems. This paper uses local binary pattern for extracting the Dot pattern image features which is first pre-processed (Re-constructed, Rotated, Enhanced). It states that only the more discriminated features can be retained by discarding the less discriminated features using Genetic Algorithm. The optimized features thus obtained can be used for matching the two dot patterns for similarity using Euclidean Distance.