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.

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).

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

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

Fingerprint Identification System Based on DSP

2012 ◽  
Vol 468-471 ◽  
pp. 920-923
Author(s):  
Ya Ping Bao ◽  
Li Liu ◽  
Yuan Wang ◽  
Qian Song
Keyword(s):  
Software Design ◽  
High Speed ◽  
High Efficiency ◽  
Low Cost ◽  
Fingerprint Identification ◽  
Identification System ◽  
System Operation ◽  
Operation Speed ◽  
High Speed Data Acquisition ◽  
High Speed Data

This paper introduced a fast fingerprint identification system based on TMS320VC5416 DSP chip and MBF200 solidity fingerprint sensor. It precipitates fingerprint identification device developing into the direction of miniaturization, embedded and automatic.It recommends fingerprint identification system hardware and software design and the main system processing flow, aim at fingerprint identification arithmetic, the influence of system operation speed is being researched at the same time. High-speed data acquisition system is been built in order to achieve a DSP fingerprint identification system with high efficiency and low cost.

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