Description: 用VISUAL C＋＋编程实现指纹图像的特征提取以及对指纹图像的识别。-A program of extracting and identifying features of fingerprint images. Platform: |
Size: 46072 |
Author:李权波 |
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Description: 采用PB8.0开发，包括指纹考勤系统的前端考勤部分和管理部分。指纹考勤部分需要U.are.U指纹仪的支持，管理部分我把指纹仪的验证部分去掉了。数据库是MS SQLServer7.0的，也可以转到MS SQLServer2000下运行。-used with PB development, including fingerprint attendance the front-end appraisal and management components. Some fingerprint attendance U.are.U fingerprint Instrument need the support of the management part I put fingerprint verification part of the instrument removed. MS SQL database, also can be transferred to MS CRM running. Platform: |
Size: 1835008 |
Author:吴江 |
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Description: 用VISUAL C＋＋编程实现指纹图像的特征提取以及对指纹图像的识别。-A program of extracting and identifying features of fingerprint images. Platform: |
Size: 46080 |
Author:李权波 |
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Description: A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database. -A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database. Platform: |
Size: 421888 |
Author:ruan |
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Description: Fingerprint Verification System an easy to use library that allows programmers to integrate fingerprint technology into their software without specific know-how. Fast, easy to use, and small great for embedded systems.-Fingerprint Verification System an easy to use library that allows programmers to integrate fingerprint technology into their software without specific know-how. Fast, easy to use, and small great for embedded systems. Platform: |
Size: 913408 |
Author:sali |
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Description: 自动指纹识别系统的工作模式可以分为两类:验证模式和辨识模式。验证就是通过把一个现场采集到的指纹与一个以登记的指纹进行一对一得比对，来确认身份的过程。作为验证的前提条件，验证者的指纹必须在指纹库中已经注册。-Automated Fingerprint Identification System can be divided into two categories: model verification and identification modes. Authentication is through a collection of fingerprints at the scene with a registered fingerprint to one-on-one than the right, to confirm the identity of the process. As a prerequisite for verification, the fingerprint authentication must be registered in the fingerprint database. Platform: |
Size: 2048 |
Author:高 |
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Description: A novel texture-based Automatic Fingerprint Authentication System (AFAS) is proposed. A fingerprint image is preprocessed to enhance the image by Short Time Fourier Transform (STFT) analysis. Then, three sets of invariant moment features, as a kind of texture features, are extracted from three different sizes of Region of Interest (ROI) areas based on the reference point from the enhanced fingerprint image. Each set of invariant moments contain seven invariant moments. Fingerprint verification is realized by Euclidean distance between the two corresponding features of the test fingerprint image and template fingerprint image in the database Platform: |
Size: 276480 |
Author:joyce |
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Description: Fingerprint Verification SDK 包涵：
指纹特征提取和识别算法
指纹扫描仪支持模块
编程例子
SDK 文档
-Fingerprint Verification SDK contains:
* Fingerprint feature extraction and matching algorithm
* Support modules for fingerprint scanners
* Programming samples
* SDK documentation
Programming samples
Fingerprint Verification SDK allows developers to use a wide range of programming languages in a development environment of their choice to create applications. The SDK includes programming samples in different languages for guiding the developers of biometric applications:
* C++
* C#
* Visual Basic .NET
* Visual Basic 6
* Sun Java 2
* Delphi 7
Platform: |
Size: 1502208 |
Author:lulong |
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Description: ONLINE FINGERPRINT VERIFICATION SYSTEM
Existing security measures rely on knowledge-based approaches like passwords or token-
based approaches such as swipe cards and passports to control access to physical and virtual
spaces. Though ubiquitous, such methods are not very secure. Tokens such as badges
and access cards may be shared or stolen. Furthermore, they cannot differentiate between
authorized user and a person having access to the tokens or passwords.-ONLINE FINGERPRINT VERIFICATION SYSTEM
Existing security measures rely on knowledge-based approaches like passwords or token-
based approaches such as swipe cards and passports to control access to physical and virtual
spaces. Though ubiquitous, such methods are not very secure. Tokens such as badges
and access cards may be shared or stolen. Furthermore, they cannot differentiate between
authorized user and a person having access to the tokens or passwords. Platform: |
Size: 3763200 |
Author:Deepak |
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Description: 这是一个完整的非细节点匹配的指纹识别系统，是一种非常经典的方法，很实用-This is a complete non-minutiae fingerprint verification system and it is classical and helpful for you Platform: |
Size: 1202176 |
Author:马浚 |
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Description: 门禁系统，管理员有随意开门的权限，员工要通过门卡或指纹的验证才能进门，外来人员要经过管理员的同意，由管理员开门
系统有日志记录，记录在electronDoor.log文件中-Access control system, administrators are free to open the door of the authority, staff card or through fingerprint verification door to door, the visitor to go through the consent of the administrator, open the door by an administrator logging system to record documents in electronDoor.log Platform: |
Size: 353280 |
Author:李平乐 |
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Description: Along with biological features recognition technology s development，the
high precision biometric technology is widely used in the identity verification
more and more．Such as：fingerprint recognitions，iris scanning，retina
scanning，sound ripple，palm prints，facial features recognition and so
on．The technologies including fingerprints，retina，iris biometric recognition
have relatively high credibility and accuracy．Because fingerprint gathering is
relatively convenient and the hardware is easy to be realized，the fingerprint
recognition algorithm is more mature than the other biometric recognition
technologies．The fingerprint recognition has higher usability and feasibility in
terms of the overall performances．-Along with biological features recognition technology' s development, the high precision biometric technology is widely used in the identity verification more and more. Such as: fingerprint recognitions, iris scanning, retina scanning, sound ripple, palm prints, facial features recognition and so on. The technologies including fingerprints, retina, iris biometric recognition have relatively high credibility and accuracy. Because fingerprint gathering is relatively convenient and the hardware is easy to be realized, the fingerprint recognition algorithm is more mature than the other biometric recognition technologies. The fingerprint recognition has higher usability and feasibility in terms of the overall performances. Platform: |
Size: 540672 |
Author:zhengxinlong |
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Description: A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the
shape of the fingerprint image). Wavelets are good at local analysis and so they help to extract local
features (minutiae) from a fingerprint. Therefore, this hybrid approach extracts most significant features
from the fingerprint images and achieve better verification rate. Different types of wavelets are used for the
study but the result shows that Symmlet orthonormal wavelet of order 8 gives best verification rate. Platform: |
Size: 386048 |
Author:samira |
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