公开(公告)号：US06993166B2

公开(公告)日：2006-01-31

申请号：US10838617

申请日：2004-05-03

Applicant: Peter Z. Lo ,  Behnam Bavarian

Inventor： Peter Z. Lo ,  Behnam Bavarian

IPC: G06K9/00

CPC classification number: G06K9/036 ,  G06K9/00067 ,  G06K9/00268

Abstract: A method for enrolling biometric images including the steps of: a) capturing (310) a plurality of images for a user into a capture folder; b) selecting (318) one of the plurality of images in the capture folder and removing the selected image from the capture folder to an enroll folder; c) comparing (322) the selected image to each of the remaining images in the capture folder to generate a corresponding similarity score for each of the remaining images; d) determining (326) whether any of the corresponding similarity scores are at least equal to a predetermined score threshold, and removing each image having a corresponding similarity score at least equal to the predetermined score threshold from the capture folder to a delete folder (330); and e) determining (334) whether there is at least one image in the capture folder and if so repeating steps b) through d).

Abstract translation: 一种用于登记生物统计图像的方法，包括以下步骤：a）将用户的多个图像捕获（310）到捕获文件夹中; b）选择（318）所述捕获文件夹中的所述多个图像中的一个，并将所选择的图像从所述捕获文件夹移除到登记文件夹; c）将所选择的图像与捕获文件夹中的每个剩余图像进行比较（322），以产生每个剩余图像的相应相似度分数; d）确定（326）相应的相似性分数中的任何一个是否至少等于预定分数阈值，并且将具有至少等于预定分数阈值的相应相似度得分的每个图像从捕获文件夹移除到删除文件夹（330 ）; 以及e）确定（334）所述捕获文件夹中是否存在至少一个图像，如果是，则重复步骤b）至d）。

公开(公告)号：US20070047779A1

公开(公告)日：2007-03-01

申请号：US11384956

申请日：2006-03-20

Applicant: Cathryn Goodman ,  Behnam Bavarian ,  Mark Lill

Inventor： Cathryn Goodman ,  Behnam Bavarian ,  Mark Lill

IPC: G06K9/00

CPC classification number: G06K9/0002

Abstract: An asperity detection apparatus and method wherein asperities are detected over a period of time. The resultant information can be used to characterize the asperities as three dimensional structures and/or with respect to their elastic and/or resilient behaviors or properties over time.

Abstract translation: 一种在一段时间内检测到粗糙度的凹凸检测装置和方法。 所得到的信息可用于将粗糙度表征为三维结构和/或关于其随时间的弹性和/或弹性行为或性质。

公开(公告)号：US20080298648A1

公开(公告)日：2008-12-04

申请号：US11756148

申请日：2007-05-31

Applicant: Peter Z. Lo ,  Behnam Bavarian ,  Ying Luo

Inventor： Peter Z. Lo ,  Behnam Bavarian ,  Ying Luo

IPC: G06K9/00

CPC classification number: G06K9/00067

Abstract: A method is performed in a print identification system to segment a non-segmented slap print image into its finger components. The method includes: receiving, for a hand, a non-segmented slap print image and a corresponding plurality of roll print images each corresponding to a different finger number; comparing the roll print images to the non-segmented slap print image to determine a number of mated minutiae areas on the non-segmented slap print image; detecting a number of print components from the non-segmented slap print image using the plurality of mated minutiae areas; and selecting a number of final print components from the detected print components and assigning finger numbers to the final print components, using the plurality of mated minutiae areas.

Abstract translation: 在打印识别系统中执行一种方法，以将非分段拍打打印图像分割成其手指部件。 该方法包括：针对手接收非分段拍打打印图像和对应于不同手指号码的相应多个滚动打印图像; 将所述滚动打印图像与所述非分段拍打打印图像进行比较，以确定所述非分段拍打打印图像上的配合细节区域的数量; 使用所述多个配对细节区域从所述非分段拍打图像检测多个打印部件; 以及从检测到的打印部件中选择多个最终打印部件，并使用多个配合的细节区域将手指号码分配给最终的打印部件。

公开(公告)号：US20080013803A1

公开(公告)日：2008-01-17

申请号：US11457273

申请日：2006-07-13

Applicant: PETER Z. LO ,  BEHNAM BAVARIAN ,  YING LUO

Inventor： PETER Z. LO ,  BEHNAM BAVARIAN ,  YING LUO

IPC: G06K9/00

CPC classification number: G06K9/00067 ,  G06K9/036

Abstract: A method, apparatus and computer-readable storage element for determining quality of a print image, with the method including the steps of: estimating a centroid point of the physical print; setting dimensions of a quality computation frame based at least on a characteristic of the print image; centering the quality computation frame around the centroid point; determining, within the frame, a set of quality features; and computing a quality measure for the print image based on the set of quality features.

Abstract translation: 一种用于确定打印图像的质量的方法，装置和计算机可读存储元件，方法包括以下步骤：估计物理打印的质心点; 至少基于打印图像的特性设置质量计算帧的尺寸; 围绕质心点的质量计算框中心; 在框架内确定一组质量特征; 以及基于所述一组质量特征来计算所述打印图像的质量度量。

公开(公告)号：US20060153432A1

公开(公告)日：2006-07-13

申请号：US11031223

申请日：2005-01-07

Applicant: Peter Lo ,  Behnam Bavarian

Inventor： Peter Lo ,  Behnam Bavarian

IPC: G06K9/00 ,  B42D15/00

CPC classification number: G06K9/036 ,  G06K9/00087 ,  G06K9/033 ,  G06K9/685

Abstract: A method for fingerprint record identification includes the steps of: assigning (200) a first number of fingers for a first matching stage and a second number of fingers for a second matching stage; performing (210) the first matching stage of comparing, based on the first number of assigned fingers, a search record to at least a portion of a plurality of file records and generating first matching results of a subset of the at least a portion of the plurality of file records; and performing (220) the second matching stage of comparing, based on the second number of assigned fingers, the search record to at least a portion of the subset and generating second matching results of one of: a strong hit; a weak hit; no hit; and a an ordered portion of the subset.

Abstract translation: 一种用于指纹记录识别的方法包括以下步骤：为第一匹配级分配（200）第一数量的手指和用于第二匹配级的第二数量的手指; 基于所分配的第一指定数目将搜索记录执行（210）第一匹配阶段到多个文件记录的至少一部分，并且生成所述至少一部分的第一匹配结果， 多个文件记录; 以及将所述第二匹配阶段（220）基于所述第二数量的所分配的手指，将所述搜索记录与所述子集的至少一部分进行比较，并产生以下之一的第二匹配结果：强烈的命中; 打弱 没打 和子集的有序部分。

公开(公告)号：US20050129290A1

公开(公告)日：2005-06-16

申请号：US10838617

申请日：2004-05-03

Applicant: Peter Lo ,  Behnam Bavarian

Inventor： Peter Lo ,  Behnam Bavarian

IPC: G06K9/00 ,  G06T20060101

CPC classification number: G06K9/036 ,  G06K9/00067 ,  G06K9/00268

Abstract: A method for enrolling biometric images including the steps of: a) capturing (310) a plurality of images for a user into a capture folder; b) selecting (318) one of the plurality of images in the capture folder and removing the selected image from the capture folder to an enroll folder; c) comparing (322) the selected image to each of the remaining images in the capture folder to generate a corresponding similarity score for each of the remaining images; d) determining (326) whether any of the corresponding similarity scores are at least equal to a predetermined score threshold, and removing each image having a corresponding similarity score at least equal to the predetermined score threshold from the capture folder to a delete folder (330); and e) determining (334) whether there is at least one image in the capture folder and if so repeating steps b) through d).

Abstract translation: 一种用于登记生物统计图像的方法，包括以下步骤：a）将用户的多个图像捕获（310）到捕获文件夹中; b）选择（318）所述捕获文件夹中的所述多个图像中的一个，并将所选择的图像从所述捕获文件夹移除到登记文件夹; c）将所选择的图像与捕获文件夹中的每个剩余图像进行比较（322），以产生每个剩余图像的相应相似度分数; d）确定（326）相应的相似性分数中的任何一个是否至少等于预定分数阈值，并且将具有至少等于预定分数阈值的相应相似度得分的每个图像从捕获文件夹移除到删除文件夹（330 ）; 以及e）确定（334）所述捕获文件夹中是否存在至少一个图像，如果是，则重复步骤b）至d）。

公开(公告)号：US07515741B2

公开(公告)日：2009-04-07

申请号：US11031223

申请日：2005-01-07

Applicant: Peter Z. Lo ,  Behnam Bavarian

Inventor： Peter Z. Lo ,  Behnam Bavarian

IPC: G06K9/00

CPC classification number: G06K9/036 ,  G06K9/00087 ,  G06K9/033 ,  G06K9/685

Abstract: A method for fingerprint record identification includes the steps of: assigning (200) a first number of fingers for a first matching stage and a second number of fingers for a second matching stage; performing (210) the first matching stage of comparing, based on the first number of assigned fingers, a search record to at least a portion of a plurality of file records and generating first matching results of a subset of the at least a portion of the plurality of file records; and performing (220) the second matching stage of comparing, based on the second number of assigned fingers, the search record to at least a portion of the subset and generating second matching results of one of: a strong hit; a weak hit; no hit; and a an ordered portion of the subset.

公开(公告)号：US20080101663A1

公开(公告)日：2008-05-01

申请号：US11554861

申请日：2006-10-31

Applicant: PETER Z. LO ,  BEHNAM BAVARIAN ,  YING LUO

Inventor： PETER Z. LO ,  BEHNAM BAVARIAN ,  YING LUO

IPC: G06K9/00

CPC classification number: G06K9/0008 ,  G06K9/001

Abstract: A method for level three feature extraction from a print image extracts features associated with a selected ridge segment using a gray-level image under the guidance of at least one binary image. The level three features are a sequence of vectors each corresponding to a different level three characteristic and each representing a sequence of values at selected points on a print image. The level three features are stored and used for level three matching of two prints. During the matching stage, ridge segments are correlated against each other by shifting or a dynamic programming method to determine a measure of similarity between the print images.

Abstract translation: 用于从打印图像提取三级特征的方法在至少一个二进制图像的引导下使用灰度级图像提取与所选择的脊段相关联的特征。 三级特征是一系列向量，每个矢量各自对应于不同的三级特征，每一个表示在打印图像上的选定点处的值序列。 三级功能被存储并用于两个打印的三级匹配。 在匹配阶段，通过移位或动态规划方法，脊段彼此相关，以确定打印图像之间的相似性度量。

公开(公告)号：US20070263913A1

公开(公告)日：2007-11-15

申请号：US11383449

申请日：2006-05-15

Applicant: SAM DANIEL ,  BEHNAM BAVARIAN ,  PETER LO ,  HARSHAWARDHAN WABGAONKAR

Inventor： SAM DANIEL ,  BEHNAM BAVARIAN ,  PETER LO ,  HARSHAWARDHAN WABGAONKAR

IPC: G06K9/00

CPC classification number: G06K9/00093

Abstract: A method for comparing a search print to a plurality of file prints includes performing a gray scale-based matching process, wherein cross-section profile pairs are determined between minutiae and landmark points in a search print and corresponding respondent prints, and individual similarity measures are computed based on the cross-section profile pairs using an elastic correlation process. A composite similarity measure is computed from the individual similarity measures. Optimizations such as segment outlier optimization (to eliminate outlier segments/minutiae points from the composite similarity measure computation) and adjusting the landmark point location in the search or respondent print can be implemented to maximize the composite similarity measure for a given respondent print. This maximized composite similarity measure can be combined with a similarity measure from another print matcher such as another gray scale-based matcher.

Abstract translation: 用于将搜索打印与多个文件打印进行比较的方法包括执行基于灰度的匹配处理，其中在搜索打印中的细节和地标点之间确定横截面轮廓对，并且相应的响应者打印，并且个体相似性度量是 基于使用弹性相关过程的横截面轮廓对计算。 从单个相似性度量计算复合相似度度量。 可以实现诸如片段异常值优化（从复合相似度测量计算中消除异常值段/细节点）和调整搜索或响应打印中的地标点位置的优化，以最大化给定响应者打印的复合相似性度量。 这种最大化的复合相似性度量可以与来自另一种打印匹配器的相似性度量相结合，例如另一种基于灰度级的匹配器。

公开(公告)号：US5960101A

公开(公告)日：1999-09-28

申请号：US705745

申请日：1996-08-30

Applicant: Zhen-Ping Peter Lo ,  Behnam Bavarian

Inventor： Zhen-Ping Peter Lo ,  Behnam Bavarian

IPC: G06K9/00

CPC classification number: G06K9/00087

Abstract: A system and method match a search print with one or more file prints stored in a database, wherein each of said prints including minutiae. The system and method receive a minutiae match report which includes a list of file prints which are possible matches with the search print. The minutiae match report is based on at least a comparison of coordinate locations and angles of rotation of the minutiae in the file prints with the minutiae in the search prints. The system and method determine an offset between a first singularity in the search print and a corresponding first singularity in the file print. Additionally, the system and method determines a first angle between at least one singularity in the search print and at least one minutia of the search print. A second angle between a corresponding at least one singularity in the file print and a corresponding at least one minutia of the file print is determined. The first angle and the second angle are compared and a first match indicator is generated based on the offset and the comparison of the first angle and the second angle.

Abstract translation: 系统和方法将搜索打印与存储在数据库中的一个或多个文件打印相匹配，其中每个所述打印包括细节。 系统和方法接收细节匹配报告，其中包含与搜索打印可能匹配的文件打印列表。 细节匹配报告至少基于文件打印中的细节的坐标位置和旋转角度与搜索打印中的细节的比较。 系统和方法确定搜索打印中的第一奇异点与文件打印中对应的第一奇异点之间的偏移。 此外，系统和方法确定搜索打印中的至少一个奇点与搜索打印的至少一个细节之间的第一角度。 确定文件打印中的对应的至少一个奇点与文件打印的对应的至少一个细节之间的第二个角度。 比较第一角度和第二角度，并且基于偏移和第一角度与第二角度的比较来生成第一匹配指示符。