منابع مشابه
An Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
متن کاملAn Automatic Fingerprint Classification Algorithm
Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...
متن کاملan automatic fingerprint classification algorithm
manual fingerprint classification algorithms are very time consuming, and usually not accurate. fast and accurate fingerprint classification is essential to each afis (automatic fingerprint identification system). this paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. a new structural algorit...
متن کاملFingerprint Classification and Matching
The problem of resolving the identity of a person can be categorized into two fundamentally distinct types of problems with different inherent complexities [1]: (i) verification and (ii) recognition. Verification (authentication) refers to the problem of confirming or denying a person’s claimed identity (Am I who I claim I am?). Recognition (Who am I?) refers to the problem of establishing a su...
متن کاملFingerprint-Based Gender Classification
Gender classification from fingerprints is an important step in forensic anthropology in order to identify the gender of a criminal and minimize the list of suspects search. A dataset of 10-fingerprint images for 2200 persons of different ages and gender (1100 males and 1100 females) was analyzed. Features extracted were; ridge count, ridge thickness to valley thickness ratio (RTVTR), white lin...
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ژورنال
عنوان ژورنال: Nature
سال: 1970
ISSN: 0028-0836,1476-4687
DOI: 10.1038/225205c0