Improved Iris Recognition Using Eigen Values for Feature Extraction for Off Gaze Images

摘要: There are various Iris recognition and identification schemes known to produce exceptional results with very less errors at times no all but patented. Many prominent researchers have given their for either of an from image then identifying it a set available database so as know who belongs to. The Gabor filter is preferred algorithm feature extraction has certain limitations, hence Principal Component Analysis (PCA) used overcome the limitations provide solution which achieves better encouraging filters Off Gaze images.