Digital image processing encompasses processes whose inputs and outputs are images that extract attributes from images. This paper, ’Performance measure of local operators in fingerprint detection’ aims at detecting the edges of fingerprint images. This method uses five local operators namely Sobel, Roberts, Prewitt, Canny and LoG. The edge detected image is further segmented to extract individual segments from the image. Performance measure of the local operators is obtained by calculating the peak signal to noise ratio by adding various external noise. The performances of the local operators for different types of noise are compared and the best operator suited for those noises is obtained. This can be used as a pre-processing for pattern recognition (Fingerprint Recognition) where the edge segmented fingerprint images are required for a comprehensive database for storing the identities of citizens, employees, medical applications etc
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