Blood Group Detection using Finger Print

The most trustworthy and distinctive aspect of human identity is the fingerprint pattern. The fingerprint pattern cannot be altered and stays as it is till death of a person. Up to this date in the cases of events consideration fingerprint evidence is regarded as most crucial evidence even in court of law. The minutiae pattern of every human is distinct and the possibility of having similarity is very rare almost one in sixty-four thousand million. The minutiae pattern varies even in twins. The ridge pattern is also distinct and does not change from birth of individual. The approach provided in this paper include matching of minutiae feature pattern obtained from fingerprint for person identification system. The issue of blood group is also researched with the assistance of fingerprint. The fingerprint matching is processed with the estimation of ridge frequency. The spatial features for this purpose are extracted via Gabor filter. The HFDU06 fingerprint scanner-based work here is displaying considerable efficiency which forms the image processing activities like image to binary and thinning for correcting and normalization of fingerprint patterns

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-03-25
DOI
https://doi.org/10.22214/ijraset.2025.67757
Primary Topic
Blood groups and transfusion
Type
article
Field-Weighted Citation Impact
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article

Blood Group Detection using Finger Print

M. Krishna
International Journal for Research in Applied Science and Engineering Technology
Blood groups and transfusion
article

Blood Group Detection using Finger Print

M. Krishna
article en

Abstract

The most trustworthy and distinctive aspect of human identity is the fingerprint pattern. The fingerprint pattern cannot be altered and stays as it is till death of a person. Up to this date in the cases of events consideration fingerprint evidence is regarded as most crucial evidence even in court of law. The minutiae pattern of every human is distinct and the possibility of having similarity is very rare almost one in sixty-four thousand million. The minutiae pattern varies even in twins. The ridge pattern is also distinct and does not change from birth of individual. The approach provided in this paper include matching of minutiae feature pattern obtained from fingerprint for person identification system. The issue of blood group is also researched with the assistance of fingerprint. The fingerprint matching is processed with the estimation of ridge frequency. The spatial features for this purpose are extracted via Gabor filter. The HFDU06 fingerprint scanner-based work here is displaying considerable efficiency which forms the image processing activities like image to binary and thinning for correcting and normalization of fingerprint patterns

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(3)
Openalex Percentile: Top 92%
Blood groups and transfusion
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Blood Group Detection using Finger Print — M. Krishna · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS