A Novel Approach to Predict Blood Group using Fingerprint Map Reading

The most reliable and unique feature of human identity is the fingerprint pattern. The fingerprint pattern cannot be changed and remains as is till death of an individual. Till date in the cases of events considerations fingerprint proof is considered as most important evidence even in court of law. The minutiae pattern of each human is different and the chance of having similarity is very less almost one in sixty-four thousand million. The minutiae pattern is different even for twins. The ridge pattern is also unique and remains unchanged from birth of individual. The method given in this paper consist of matching of minutiae feature pattern extracted from fingerprint for person identification system. The problem of blood group is also investigated with the help of fingerprint. The fingerprint matching is processed with the estimation of ridge frequency. The spatial features for this purpose are extracted using Gabor filter. The HFDU06 fingerprint scanner-based work presented here shows significant efficiency which constitutes the image processing tasks such as image to binary and thinning for correcting and normalization of fingerprint patterns.