Crime scene fingerprint ridgeline leaving region frequency dynamic reconstruction method

A technology of lines and fingerprints, applied in the field of biometric identification, can solve problems such as no statistical data support

Active Publication Date: 2018-04-13
张威 +1
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Problems solved by technology

[0006] Therefore, the forensic science industry needs to find a dynamic reconstruction technology for the frequency of leftover areas of fingerprint lines at the crime scene. The calculation of the contribution of the level of "bit-line image quality" to the overall quality rating of ten fingerprints provides a real-time and accurate weighted parameter model, thereb

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  • Crime scene fingerprint ridgeline leaving region frequency dynamic reconstruction method
  • Crime scene fingerprint ridgeline leaving region frequency dynamic reconstruction method
  • Crime scene fingerprint ridgeline leaving region frequency dynamic reconstruction method

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[0093] The present invention will be further described in detail below in conjunction with the embodiments.

[0094] Such as figure 1 As shown, the method includes the following steps:

[0095] Step S01: Big data sampling.

[0096] This step requires dynamic big data sampling of the information stored in the existing AFIS database of the forensic science department. The data to be extracted mainly include:

[0097] 1. The fingerprint is compared with the relational data. The China-China relationship data is gradually accumulated by fingerprint system users (usually forensic science departments) in actual combat comparison work. It records a certain on-site fingerprint extracted from the crime scene of a certain case, through the fingerprint system comparison and multiple fingerprint experts (each Group of at least two persons) independently carry out manual identification to prove that the fingerprint evidence on the spot has the "same relationship" with the fingerprint of a certai...

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Abstract

The invention relates to a crime scene fingerprint ridgeline leaving region frequency dynamic reconstruction method. The method comprises the following steps of performing identification and data extraction on a peripheral contour line of a scene fingerprint ridgeline coverage region; reconstructing a crime scene fingerprint ridgeline leaving region in a compared seal fingerprint; and performing dynamic reconstruction of a crime scene fingerprint ridgeline leaving region frequency. The method is mainly used for a super-large-scale fingerprint system of a multi-comparison algorithm framework; the image quality level of fingerprint system database establishment and the case-solving efficiency of the fingerprint system can be effectively improved; and the method is of outstanding significancein the aspects of "comparison and missing check risk analysis of the fingerprint system", "locking of a missing check target range", "feasibility assessment of actual application of various planar seal fingerprint image data to the field of forensic science", and the like.

Description

technical field [0001] The present invention proposes a dynamic reconstruction algorithm model based on "big data mining" and "pattern recognition" technology of "frequency of leftover areas of fingerprints at the crime scene", which belongs to the field of biological feature recognition. Background technique [0002] Automatic Fingerprint Identification System (AFIS) is the most widely used individual feature identification system in the world today. It is not only the first choice for the police in various countries to identify the identity of the perpetrators and victims of major crimes, but also the police's identification of objects of investigation, unknown corpses, and practitioners in special industries. It is the preferred method for quickly and accurately identifying the identities of perpetrators, persons with limited capacity for conduct, lost persons, fugitive suspects, key management objects, etc. The case-handling agency said. [0003] The quality of tenfinge...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/34G06K9/44G06K9/03
CPCG06V40/13G06V40/1347G06V10/993G06V10/34G06V10/443G06V10/267
Inventor 张威王威
Owner 张威
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