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Fingerprint verification systems are expensive and complex, requiring sensing facilities, pre-processing, algorithms for image quality enhancement and procedures for ridge and minutiae detection which can be used for classification, verificatioin and recognition. Todate, the main published approaches to fingerprint recognition break down the process of ridge detection into smoothing or early pre-processing, edge detection, thresholding, binarization and subsequently thinning. 'Ibis whole procedure can be very computationally expensive and hence require more expensive hardware to meet the response-time requirements.The approach presented in this paper is based on fuzzy logic techniques. This has iihe advantage of being simple and less expensive.