Description: 一个指纹细节点识别的小程序，包括边缘检测，指纹细化，细节点提取和匹配等-a fingerprint minutiae of small identification procedures, including edge detection, fingerprint details, and details of extraction and matching Platform: |
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Author:zhaojing |
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Description: pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Fingerprints with use of Three-Rate
Hybrid Kohonen Neural Networks
nad etc Platform: |
Size: 21190656 |
Author:ali |
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Description: vs_enhancer：指纹增强程序，描述了如何使用该库增强指纹图像。原图像和目标图
像都是位图。
fvs_direction：描述了如何提取方向图。输入图像必须是归一化的图像，这样才能
有较好的效果。输出图像覆盖于输入图像之上。
fvs_createtestimages：该程序用来产生调试过程中可能会用到的一些位图图像，这
些图像是不同角度和不同间隔的条纹。产生图像的文件名命名方式如下：
testimgSSSDDD.bmp
其中，SSS代表条纹间隔（像素个数），DDD代表方向的角度。
fvs_thinner：描述了怎样细化一个指纹图像。细化后的图像尽可能的代表了指纹的
脊线。
fvs_minutia：显示了如何从细化后的指纹图像中获得细节点集合。这一部分目前做
的效果不好，提取出的伪细节点太多。
fvs_mask：计算有效的指纹区域（剔除非指纹区域以及模糊指纹区域）。
include目录：
包含了头文件。
src目录：
包含了指纹识别中各种算法的实现代码。这些代码的使用方法可以参见demo目录中的
例程。-vs_enhancer: fingerprint enhancement procedures describe how to use the library enhance the fingerprint image. The original image and target map
Like all bitmap.
fvs_direction: describes how to extract pattern. Input image must be normalized image, so as to
Better results. Output image overlay on top of the input image.
fvs_createtestimages: The program used to generate the debugging process may be used in a number of bitmap images, which
These images are different perspectives and different intervals of stripes. Generate the image file named as follows:
testimgSSSDDD.bmp
Which, SSS on behalf of fringe spacing (pixels number), DDD representative of the direction angle.
fvs_thinner: describes how to refine a fingerprint image. After thinning the image as the representative of the fingerprint
Ridge.
fvs_minutia: shows how the fingerprint image from the refined to obtain details of the point set. This part of the current do
The effect of bad pseudo minutiae e Platform: |
Size: 47104 |
Author:沈晓伟 |
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Description: 提出一种新的指纹匹配算法.在配准阶段,引入局部方向场匹配,并结合局部细节点拓扑结构匹配以进行指纹对齐 在对齐后的匹配中,首先在两个指纹的细节点集之间进行弹性匹配,得到一个由匹配的细节点对组成的相集,然后以相似集中的细节点做顶点,以各顶点之间的连线为边,为输入指纹和模板指纹组对应的拓扑图进行图匹配 还引入了全局方向场匹配,并与细节点集匹配进行融合,以提高算法的精度.采用FVC2002公布的指纹库进行对比实验,结果证明了算法的有效性.-A new fingerprint matching algorithm. In the registration phase, the introduction of local orientation field matching, combined with the topology of local minutiae matching for fingerprint alignment in alignment after the match, the first two fingerprint minutiae elastic matching between sets, get the details of a matching set of points on the phase composition, and then focus on the details of the points made similar peak to the connection between the vertices for the edge of the input fingerprint and template fingerprint groups corresponding graphs, graph matching also introduces the global orientation field matching, point set match with the details of the fusion to improve the algorithm accuracy. FVC2002 published fingerprint database using comparative experiment results demonstrate the effectiveness of the algorithm. Platform: |
Size: 333824 |
Author:李辉艳 |
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Description: proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details
in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean
distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a
verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms
published in the open literature-proposed filter-based algorithm uses a bank of Gabor filters to capture both local and global details
in a fingerprint as a compact fixed length FingerCode. The fingerprint matching is based on the Euclidean
distance between the two corresponding FingerCodes and hence is extremely fast. We are able to achieve a
verification accuracy which is only marginally inferior to the best results of minutiae-based algorithms
published in the open literature Platform: |
Size: 6144 |
Author:Ash_rulerz |
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Description: A new fingerprint compression algorithm based on
sparse representation is introduced. Obtaining an overcomplete
dictionary from a set of fingerprint patches allows us to represent
them as a sparse linear combination of dictionary atoms.
In the algorithm, we first construct a dictionary for predefined
fingerprint image patches. For a new given fingerprint images,
represent its patches according to the dictionary by computing
l0-minimization and then quantize and encode the representation.
In this paper, we consider the effect of various factors on compression
results. Three groups of fingerprint images are tested.
The experiments demonstrate that our algorithm is efficient
compared with several competing compression techniques (JPEG,
JPEG 2000, andWSQ), especially at high compression ratios. The
experiments also illustrate that the proposed algorithm is robust
to extract minutiae. Platform: |
Size: 3031040 |
Author:bala |
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Description: program for fingerprint recognition using minutia
The general shape of the fingerprint is generally used to pre-process the
images, and reduce the search in large s. This uses the general
directions of the lines of the fingerprint, and the presence of the core
and the delta. Several categories have been defined in the Henry system:
whorl, right loop, left loop, arch, and tented arch.
Most algorithms are using minutiae, the specific points like ridges
ending, bifurcation... Only the position and direction of these features
are stored in the signature for further comparison.-program for fingerprint recognition using minutia
The general shape of the fingerprint is generally used to pre-process the
images, and reduce the search in large s. This uses the general
directions of the lines of the fingerprint, and the presence of the core
and the delta. Several categories have been defined in the Henry system:
whorl, right loop, left loop, arch, and tented arch.
Most algorithms are using minutiae, the specific points like ridges
ending, bifurcation... Only the position and direction of these features
are stored in the signature for further comparison. Platform: |
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Author:safa younes |
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Description: 指纹匹配仍然是一个具有挑战性的问题,可靠的人身份验证,因为复杂的扭曲参与两个印象相同的手指。因为绝大多数的指纹匹配算法依赖于细节匹配,细节信息被认为是自动指纹识别系统非常重要的特性。误判率系统的准确性取决于图像质量,图像增强方法、特性提取算法,和以前特性集
-Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. Since the vast majority of fingerprint matching algorithms rely on minutiae matching, minutiae information are regarded as highly significant features for Automatic Fingerprint Recognition System. The accuracy of the AFRS system depends on the image quality, image enhancement methods, feature set extraction algorithms, and feature set pre‐processing/post‐processing algorithms. Platform: |
Size: 4899840 |
Author:小罗 |
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Description: The popular Biometric used to
authenticate a person is Fingerprint which is unique and
permanent throughout a person’s life. A minutia matching is widely used for fingerprint recognition and can be
classified as ridge ending and ridge bifurcation. In this paper we projected Fingerprint Recognition using
Minutia Score Matching method (FRMSM). For Fingerprint
thinning, the Block Filter is used, which scans the
image at the boundary to preserves th
e quality of the image and extract
the minutiae the thinned image.
The false matching ratio is better compared to the existing algorithm-The popular Biometric used to
authenticate a person is Fingerprint which is unique and
permanent throughout a person’s life. A minutia matching is widely used for fingerprint recognition and can be
classified as ridge ending and ridge bifurcation. In this paper we projected Fingerprint Recognition using
Minutia Score Matching method (FRMSM). For Fingerprint
thinning, the Block Filter is used, which scans the
image at the boundary to preserves th
e quality of the image and extract
the minutiae the thinned image.
The false matching ratio is better compared to the existing algorithm Platform: |
Size: 153600 |
Author:ashok |
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Description: 里面有指纹图片包，以及对于对于指纹图像细节点提取的所有matlab程序-Fingerprint picture package, as well as for all MATLAB procedure for minutiae extraction in fingerprint images Platform: |
Size: 6220800 |
Author:思源 |
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Description: This project reflects pattern recognition techniques that we’ve studied in course. Our main focus throughout the project was feature extraction. System extracts minutiae points selected image and then performs fingerprint matching based on minutiae pairing between two provided images-This project reflects pattern recognition techniques that we’ve studied in course. Our main focus throughout the project was feature extraction. System extracts minutiae points selected image and then performs fingerprint matching based on minutiae pairing between two provided images Platform: |
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Author:HAYDAR |
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Description: 基于对指纹的完整脊状结构的显式检测的表征。
在指纹上有丰富的歧视性信息的重要组成部分。当地的脊
结构不能完全以细节为特征。这个基于过滤的算法使用了一个Gabor过滤器来捕获本地和全局的细节。
指纹作为一种紧凑的固定长度的指纹。指纹匹配是基于欧几里德的。
两个对应的指纹之间的距离是非常快的。我们能够实现a。
验证精度仅略低于基于细节的算法的最佳结果。
发表在开放文学。我们的系统比先进的基于细节的系统性能更好。
当应用系统的性能要求不要求非常低的错误接受率时。
最后，我们证明了匹配的性能可以通过结合配对的决定来提高。
基于互补(基于细节和基于过滤的)指纹信息。(With identity fraud in our society reaching unprecedented proportions and with an increasing emphasis on the emerging automatic personal identification applications, biometrics-based verification, especially fingerprint-based identification, is receiving a lot of attention. There are two major shortcomings of the traditional approaches to fingerprint representation. For a considerable fraction of population, the representations based on explicit detection of complete ridge structures in the fingerprint are difficult to extract automatically. The widely used minutiae-based representation does not utilize a significant component of the rich discriminatory information available in the fingerprints.) Platform: |
Size: 1242112 |
Author:kkkaimm |
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Search - Minutiae in FingerPrint