• Dr. R. Sravanthi
• G.Lakshmi deepika
• D.Aruna Chandrika
• A. Poojitha
• P.Lakshmi Narayana

This paper presents the Eye detection using bilateral filter for biometric systems. The Eye detection plays an important role in the Biometric systems, which enabling robust and reliable identification and authentication of individuals. The existing methodology is convolution neural network (CNN). CNN is an artificial neural network, which it is used for image recognition and processing. Its built-in convolutional layer reduces the high dimensionality of images without losing its information. most of the existing eye detectors cannot efficiently determines the eye region, distinguish between left or right eye & detect the eye center in one round. The main drawback, it requires a large number of computations to execute, which can hinder real-time execution on low-cost, low-power devices. To overcome this drawback, the Bilateral filter is introduced in the place of CNN. A non-linear filter used for edge-preserving smoothing and noise reduction in images. The bilateral filter considers both the spatial proximity and intensity similarity of pixels when performing smoothing. It replaces the intensity of each pixel with a weighted average of intensity values from nearby pixels. The proposed method approach enhances the accuracy and robustness of eye detection, paving the way for advancements in biometric identification and authentication technologies.

Face Detection, Feature Extraction, Bilateral filter, Haar Cascade, Eye detection

"EYE DETECTION USING BILATERAL FILTER MODEL FOR BIOMETRIC SYSTEMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p132-p139, April-2024, Available :http://www.jetir.org/papers/JETIR2404G18.pdf

"EYE DETECTION USING BILATERAL FILTER MODEL FOR BIOMETRIC SYSTEMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp132-p139, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G18.pdf