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Fingerprint

Human fingerprints consist of various types of options.
These fingerprints are classified based on decades of Henry System.

Henry System is a method of distinguishing features through classification criteria such as left loop (fingerprint with a line shape to the left), right loop, rch (semi-circular pattern), whorl, and tented arch (semi-circular curve like a tent).

Among the features of fingerprints, two-thirds are annular lines, one-third are swirls, and about 5%-10% are arched.
However, this classification is used only when a large amount of crime DB is used, but is not well used in fingerprint recognition (biometrics) technology.
Instead, in fingerprint recognition (biometric recognition), lines that interfere with the smooth flow of ridges become the basis data for most fingerprint recognition authentication.

According to a record of the features of fingerprints introduced by Galton in late 1800, most of them are at the point where the ridges are divided into two, the ridges at the beginning and end of the ridges. There are various minuteiae (characteristic point), which is dots (a very small melting point (a melting point seen as a point), islands (a melting point a little longer than the melting point), but a melting line (a melting line such as an isolated point), a pods or a split space (two spaces).

Human fingerprints consist of various types of options. These fingerprints are classified based on decades of Henry System. Henry System is a

method of distinguishing features through

classification criteria such as left loop

(fingerprint with a line shape to the left), right loop,

rch (semi-circular pattern), whorl, and tented arch

(semi-circular curve like a tent).


Among the features of fingerprints, two-thirds are

annular lines, one-third are swirls, and about

5%-10% are arched.
However, this classification is used only when a

large amount of crime DB is used, but is not well

used in fingerprint recognition (biometrics) technology. Instead, in fingerprint recognition

 (biometric recognition), lines that interfere with the

 smooth flow of ridges become the basis data for most fingerprint recognition authentication.


According to a record of the features of fingerprints introduced by Galton in late 1800, most of them are at the point where the ridges are divided into two, the ridges at the beginning and end of the ridges. There are various minuteiae (characteristic point), which is dots (a very small melting point (a melting point seen as a point), islands (a melting point a little longer than the melting point), but a melting line (a melting line such as an isolated point), a pods or a split space (two spaces).

Extract the fingerprint
Optical sensor device

Other features, such as fingerprint recognition, are very important elements, such as the core,

which is mainly the inner axis at the center of drawing vortexes, rings, or arches, and are mostly made at the ends of several curved ridges and ridges.

Delta is generally located at the bottom left or right of the fingerprint at the continuous end of a triangular ridge.
The ridges have fine sweatholes at a certain distance, and the initial attempts at fingerprint recognition used the location and

distribution of these sweatholes as data for authentication.
The resolution required to capture these sweatholes continues to increase.

Other features, such as fingerprint recognition, are

very important elements, such as the core,

which is mainly the inner axis at the center of

drawing vortexes, rings, or arches, and are mostly

made at the ends of several curved ridges and

ridges. Delta is generally located at the bottom left

or right of the fingerprint at the continuous end of a

triangular ridge. The ridges have fine sweatholes

at a certain distance, and the initial attempts at

 fingerprint recognition used the location and

distribution of these sweatholes as data for

 authentication. The resolution required to capture

 these sweatholes continues to increase.

개인정보 수집 및 이용 동의서

 

개인정보 보호법 제15조에 따라 개인정보를 수집·이용함에 있어 정보 주체의 동의를 받고자 합니다. 아래의 내용을 충분히 읽어보신 후 동의 여부를 결정해 주시기 바랍니다.

 

1. 개인정보 수집 항목

회사는 다음과 같은 개인정보를 수집합니다.

•이름

•업체명

•연락처 (전화번호 또는 휴대전화번호)

•이메일 주소

•문의 내용

 

2. 개인정보 수집 및 이용 목적

수집된 개인정보는 다음의 목적을 위해 이용됩니다.

•문의 내용 확인 및 상담 진행

•서비스 제공 및 관련 안내

•고객 요청 사항 처리 및 응답

•서비스 품질 향상을 위한 내부 데이터 분석

 

3. 개인정보 보유 및 이용 기간

수집된 개인정보는 수집·이용 목적 달성 시까지 보관하며, 목적 달성 후에는 지체 없이 파기합니다. 단, 관련 법령에 따라 보관이 요구되는 경우 해당 기간 동안 보관합니다.

 

4. 동의 거부 권리 및 불이익 안내

정보 주체는 개인정보 수집 및 이용 동의를 거부할 권리가 있습니다. 다만, 동의를 거부할 경우 서비스 제공 및 상담 진행이 제한될 수 있습니다.

 

5. 개인정보 제3자 제공 및 위탁

회사는 정보 주체의 동의 없이 수집된 개인정보를 제3자에게 제공하거나 외부에 위탁하지 않습니다.

 

6. 개인정보 처리 방침

기타 개인정보 처리에 대한 상세한 내용은 회사의 [개인정보 처리방침](링크 또는 안내문)을 참조해 주시기 바랍니다.