scholarly journals Aplicación del NFIS (Nist Fingerprint Image Software) para la Extracción de Características de Huellas Dactilares

2005 ◽  
Vol 15 (1) ◽  
pp. 29-35
Author(s):  
Gerardo E. Canedo Romero ◽  
Ma. de Guadalupe García Hernández ◽  
Heriberto Gutiérrez Martín ◽  
Noé Mosqueda Valadez
Keyword(s):  
Fingerprint Identification ◽  
Identification System ◽  
Federal Bureau ◽  
Fingerprint Image ◽  
Federal Bureau Of Investigation

Este artículo presenta una descripción acerca de las huellas dactilares y sus características, así como la extracción de puntos característicos de la misma por medio del programa NFIS desarrollado por el NIST (National Institute of Standards and Technology) en conjunción con el FBI (Federal Bureau of Investigation), descripción de algunas herramientas, así como un panorama general de un sistema AFAS (Automatic Fingerprint Authentification System) y de un sistema AFIS (Automatic Fingerprint Identification System).

Extraction of Direction Features in Fingerprint Image

2014 ◽  
Vol 518 ◽  
pp. 316-319 ◽  
Author(s):  
Liang Zhang
Keyword(s):  
Extraction Method ◽  
Fingerprint Identification ◽  
Identification System ◽  
Fingerprint Image ◽  
System Point ◽  
Direction Image

This paper mainly discusses on the extraction method of an important feature----direction image in automatic fingerprint identification system, Point and block direction are respectively calculated of fingerprint image after preprocessing. The results in the paper could provide the basis for studying matching characteristics of subsequent fingerprint. All works achieved are performed in the VC environment.

The Image Process Technology in Fingerprint Identification

2012 ◽  
Vol 433-440 ◽  
pp. 3247-3251
Author(s):  
Hai Yan Chen ◽  
Ling Hui
Keyword(s):  
Social Life ◽  
Fingerprint Identification ◽  
Biometric Identification ◽  
Identification System ◽  
Image Process ◽  
Process Technology ◽  
Fingerprint Image ◽  
Image Preprocessing

Fingerprint identification technology is one of the biometric identification technologies that match and recognize the collected fingerprint image to determine the identity of the person. Fingerprint identification technology compared to other biometric identifications is more unique, practical and workable. Therefore, the fingerprint identification as the most popular, most convenient and most reliable authentication method, it has been widely used in many aspects of social life. This paper introduced the whole structure of the fingerprint identification system and the function of every part in fingerprint identification system, mainly introduced the part of fingerprint image pre-processing and implemented one of the algorithms for fingerprint image preprocessing with MATLAB. The result of the experiment shows that the algorithm for fingerprint image preprocessing that used in the paper meets the fingerprint image preprocessing requirements and it provides a basis for fingerprint characteristics extracting and fingerprint characteristics matching.

scholarly journals XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4473
Author(s):  
Guo Chun Wan ◽  
Meng Meng Li ◽  
He Xu ◽  
Wen Hao Kang ◽  
Jin Wen Rui ◽  
...  
Keyword(s):  
Poor Performance ◽  
The Self ◽  
Fingerprint Identification ◽  
Identification System ◽  
Segmentation Method ◽  
Fingerprint Image ◽  
Fingerprint Segmentation ◽  
Performance Rate ◽  
Frequency Coherence ◽  
Local Gradient

Partially defective fingerprint image (PDFI) with poor performance poses challenges to the automated fingerprint identification system (AFIS). To improve the quality and the performance rate of PDFI, it is essential to use accurate segmentation. Currently, most fingerprint image segmentations use methods with ridge orientation, ridge frequency, coherence, variance, local gradient, etc. This paper proposes a method of XFinger-Net for segmenting PDFIs. Based on U-Net, XFinger-Net inherits its characteristics. The attention gate with fewer parameters is used to replace the cascaded network, which can suppress uncorrelated regions of PDFIs. Moreover, the XFinger-Net implements a pixel-level segmentation and takes non-blocking fingerprint images as an input to preserve the global characteristics of PDFIs. The XFinger-Net can achieve a very good segmentation effect as demonstrated in the self-made fingerprint segmentation test.

The Design of Fingerprint Identification System Based on TMS320VC5402

2012 ◽  
Vol 542-543 ◽  
pp. 1339-1342 ◽  
Author(s):  
Xin Hong Su ◽  
Li Qiang Yin ◽  
Ling Gao ◽  
Zhi Xia Zhang
Keyword(s):  
Software Design ◽  
High Reliability ◽  
Low Cost ◽  
Design Flow ◽  
Fingerprint Identification ◽  
Identification System ◽  
Fingerprint Image ◽  
Broad Application ◽  
Design Software ◽  
Application Prospects

Due to the unique and lifelong invariance characteristics of the fingerprint, this paper presents a fast fingerprint identification system by FPS200 solid-state fingerprint sensors and TMS320VC5402 DSP chip.In the system, FPS200 completed fingerprint collection, DSP chip to complete the fingerprint image pre processing of data; combined with the characteristics of the two chips, given the system hardware design, software design flow. The results showed that: the system is well designed, low cost, real-time and high reliability, with important practical value and broad application prospects.

Impact of DNA Typing on Standards and Practice in the Forensic Community

1999 ◽  
Vol 123 (11) ◽  
pp. 1063-1065
Author(s):  
Dennis J. Reeder
Keyword(s):  
Dna Analysis ◽  
New Technologies ◽  
Standard Reference Materials ◽  
Identification System ◽  
Proficiency Tests ◽  
Dna Testing ◽  
Federal Bureau ◽  
Sample Collection ◽  
Federal Bureau Of Investigation ◽  
National Implementation

Abstract This article reviews the history of DNA-based human identification from its inception in 1985. Since the development of the technology, experts called for setting of standards and use of proficiency tests for quality assurance measures. The response of the National Institute of Standards and Technology to DNA forensic standards needs was catalyzed by the Technical Working Group on DNA Analysis Methods, sponsored by the Federal Bureau of Investigation with funding provided by the National Institute of Justice. Standard reference materials were developed for the original technologies used in DNA identification and for the newer polymerase chain reaction–based technologies. Adoption of recommended standards developed through the Federal Bureau of Investigation–commissioned DNA Advisory Board show the acceptance of National Institute of Standards and Technology standards for calibration of laboratory protocols. New technologies will require a process of validation and continued testing through the use of proficiency tests, such as those provided through the College of American Pathologists. Robotics and parallel processing of samples will lead to increased efficiency in DNA testing. The use of DNA data banks of convicted felons will increase dramatically with the the Federal Bureau of Investigation's national implementation of a computerized identification system known as the Combined DNA Index System. This system that will make major use of short, tandem, repeat genetic systems and will be the major driver of technology for the next 5 to 10 years. Finally, sample collection and training are of major concern for those who look at the long-term impact of DNA testing in forensic laboratories.

Latent Fingerprint Identification System Based on a Local Combination of Minutiae Feature Points

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Uttam U. Deshpande ◽  
V. S. Malemath ◽  
Shivanand M. Patil ◽  
Sushma. V. Chaugule
Keyword(s):  
Fingerprint Identification ◽  
Identification System ◽  
Feature Points ◽  
Latent Fingerprint

The Federal Bureau of Investigation

1951 ◽  
Vol 51 (5) ◽  
pp. 672
Author(s):  
Jay Murphy ◽  
Max Lowenthal
Keyword(s):  
Federal Bureau ◽  
Federal Bureau Of Investigation

Misogynistic Tweets Correlate With Violence Against Women

2021 ◽  
Vol 32 (3) ◽  
pp. 315-325
Author(s):  
Khandis R. Blake ◽  
Siobhan M. O’Dean ◽  
James Lian ◽  
Thomas F. Denson
Keyword(s):  
Family Violence ◽  
Violence Against Women ◽  
Regression Analyses ◽  
Multilevel Data ◽  
Federal Bureau ◽  
Federal Bureau Of Investigation ◽  
American States ◽  
Societal Level ◽  
The Relationship ◽  
Online Misogyny

How online social behavior covaries with real-world outcomes remains poorly understood. We examined the relationship between the frequency of misogynistic attitudes expressed on Twitter and incidents of domestic and family violence that were reported to the Federal Bureau of Investigation. We tracked misogynistic tweets in more than 400 areas across 47 American states from 2013 to 2014. Correlation and regression analyses found that misogynistic tweets were related to domestic- and family-violence incidents in those areas. A cross-lagged model showed that misogynistic tweets positively predicted domestic and family violence 1 year later; however, this effect was small. Results were robust to several known predictors of domestic violence. Our findings identify geolocated online misogyny as co-occurring with domestic and family violence. Because the longitudinal relationship between misogynistic tweets and domestic and family violence was small and conducted at the societal level, more research with multilevel data might be useful in the prediction of future violence.

Pegasus: a distributed and load-balancing fingerprint identification system

2016 ◽  
Vol 17 (8) ◽  
pp. 766-780 ◽  
Author(s):  
Yun-xiang Zhao ◽  
Wan-xin Zhang ◽  
Dong-sheng Li ◽  
Zhen Huang ◽  
Min-ne Li ◽  
...  
Keyword(s):  
Load Balancing ◽  
Fingerprint Identification ◽  
Identification System
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