Feature Extraction Technique Based on the Perceptive Invariability

Feature extraction is the one of the important techniques in pattern recognition. How to extract the steady and reliable feature is the key step to accomplish the recognition. This paper mostly considers the illumination invariant in the feature extraction technique, and gives attention to the displacement, scale, rotation invariability. We put forward an algorithm based on Local Normalization Technique and improved Hu moments. With the LN algorithm and improved Hu moment, we can extract the perceptive invariability, the recognition result is better than directly extracting Hu moments. Experiments also show that our method is effective and fast.