SYNTHESIS THE OCULAR IMAGES ON IRIS RECOGNITION BY USING LDA TECHNIQUES

Biometric can provide substantial help is in guarding against attempts to establish fraudulent multiple identifies or prevent identity fraud. By searching through the stored references, individuals who appear to have previously enrolled using a different identity can be highlighted for future investigation. It is very difficult to perform this type of check without the use of biometrics. The biometric suggest the several parts such as iris, fingerprint, ear and face recognition. This dissertation uses the iris recognition and analyzes the degraded ocular images. Iris recognition is the best of breed authentication process available today. While many mistake it for retinal scanning, iris recognition simply involves taking a picture of the iris; this picture is used solely for authentication. This work can synthesis the iris images to overcome the degraded factors. The degraded factors are known as illumination, light resources, occlusions and blur images. In this paper, we perform the segmentation, edge detection and LDA techniques to synthesis the degraded images. Then our experimental results guarantee that proposed work is correctly performed.