公开(公告)号：US20070276206A1

公开(公告)日：2007-11-29

申请号：US10586968

申请日：2005-02-28

申请人： Hideyo Takeuchi ,  Masahiro Hoguro ,  Tatsuki Yoshimine

发明人： Hideyo Takeuchi ,  Masahiro Hoguro ,  Tatsuki Yoshimine

IPC分类号： A61B5/00

CPC分类号： A61B5/442

摘要： A part of the image input from a fingerprint sensor (S1) is cut out (S3), and a fundamental frequency is calculated by using second-order linear predictive analysis (S5). A total value S of the fundamental frequencies in a direction x and a direction y is calculated so as to be used as a grading scale of fineness in texture (S7). A prepared threshold is compared with the grading scale S obtained at S7, and the fineness in texture of a skin condition is evaluated in three grades (S9 to S17). Further, a ratio of the fundamental frequency of the subject image in the direction x to the fundamental frequency in the direction y is calculated so as to be used as a grading scale relating to texture running (S19). Similar grading scales are obtained by rotating the image, and the texture running is determined into two grades based on the grading scales (S31 to S35). Results of determining the fineness in texture and the texture running are displayed on a display screen (S37).

摘要翻译： 切割从指纹传感器（S1）输入的图像的一部分（S 3），并且通过使用二阶线性预测分析来计算基频（S 5）。 计算方向x和方向y上的基本频率的总值S，以便用作纹理细度的分级比例（S 7）。 将准备的阈值与在S7获得的分级标度S进行比较，并且评价皮肤状态的质地细度为三个等级（S 9至S 17）。 此外，计算被摄体图像在方向y上的方向x与基本频率的基频的比率，以便用作与纹理运行相关的分级比例（S19）。 通过旋转图像获得类似的分级尺度，并且基于分级比例将纹理运行确定为两个等级（S31至S35）。 在显示屏幕上显示确定纹理细度和纹理运行的结果（S37）。

公开(公告)号：US07133542B2

公开(公告)日：2006-11-07

申请号：US10381514

申请日：2001-09-28

申请人： Hideyo Takeuchi ,  Taizo Umezaki

发明人： Hideyo Takeuchi ,  Taizo Umezaki

IPC分类号： G06K9/00

CPC分类号： G06K9/00006 ,  G06K9/00067 ,  G06K9/00087

摘要： The present invention provides technologies for narrowing down fingerprints images, which will be used for identity determination, without extracting auxiliary information such as a fingerprint pattern, thereby shortening the time required for fingerprint verification. The device according to the present invention includes a storage means 26 for storing characteristic information extracted from fingerprint images of registered persons, and a collection means 10 for collecting a fingerprint image. First, a extraction means 14 extracts characteristic information from the fingerprint image collected by the collection means 10. Next, a narrowing means 16 calculates a similarity between part of the characteristic information of the person to be identified, which was extracted by the extraction means 14, and corresponding part of the characteristic information of each of the registered persons, which is stored in the storage means 26. Based upon the calculated similarity, the registered fingerprints that will be used for the identity determination are narrowed down. Then, an determination means 18 determines whether or not the characteristic information of each of the registered fingerprints, which were narrowed down by the narrowing means 16, matches the characteristic information of the person to be identified, which was extracted by the extraction means 14. According to this device, the registered fingerprints that will be used for the identity determination are narrowed down by using the characteristic information that will be used for the identity determination. Therefore, without extracting auxiliary information, such as a fingerprint pattern, from the collected fingerprint image, the fingerprint images that will be used in order to determine the identity of the fingerprint are narrowed down. Thus, the time required for the fingerprint verification can be shortened.

摘要翻译： 本发明提供了用于缩小指纹图像的技术，其将用于身份确定，而不提取诸如指纹图案的辅助信息，从而缩短指纹验证所需的时间。 根据本发明的装置包括：存储装置26，用于存储从登记人员的指纹图像中提取的特征信息;以及收集装置10，用于收集指纹图像。 首先，提取装置14从由收集装置10收集的指纹图像中提取特征信息。 接下来，缩小装置16计算由提取装置14提取的要识别的人的特征信息的一部分与存储在所述提取装置14中的每个注册人的特征信息的对应部分之间的相似度。 存储装置26。 基于计算的相似度，将用于身份确定的登记指纹变窄。 然后，确定装置18确定由缩小装置16缩小的每个登记指纹的特征信息是否与由提取装置14提取的要识别的人的特征信息相匹配。 根据该装置，通过使用将用于身份确定的特征信息，将用于身份确定的登记指纹缩小。 因此，在从所收集的指纹图像中提取诸如指纹图案的辅助信息之前，为了确定指纹的身份而使用的指纹图像将被缩小。 因此，可以缩短指纹验证所需的时间。

公开(公告)号：US20060228006A1

公开(公告)日：2006-10-12

申请号：US11447082

申请日：2006-06-06

申请人： Noriyuki Matsumoto ,  Hideyo Takeuchi

发明人： Noriyuki Matsumoto ,  Hideyo Takeuchi

IPC分类号： G06K9/00

CPC分类号： G06K9/00006

摘要： The present invention determines whether fingerprint ridgeline information is contained within the fingerprint image using a simple method by considering the properties of the fingerprint ridgeline. In this fingerprint image evaluation method, a density is obtained of a reference point provided within the fingerprint image and a density is obtained of a comparison point that is shifted from the reference point by a predetermined distance. The amount of fingerprint ridgeline information contained within the fingerprint image is evaluated based upon a difference between the density of the reference point and the density of the comparison point. In this fingerprint image evaluation method, the characteristic of the fingerprint ridgeline, in which a fingerprint furrow line exists proximally to the fingerprint ridgeline, is utilized. Therefore, erroneous determinations can be prevented in which an image, which is not in fact a fingerprint image, is determined to be a fingerprint image. In addition, it is only required to obtain the density of the reference point and the density of the comparison point, and to calculated their difference. Therefore, time consuming processing is not necessary, such as is required to extract characteristic points from a fingerprint image.

摘要翻译： 本发明通过考虑指纹脊线的特性，使用简单的方法来确定指纹脊线信息是否包含在指纹图像内。 在该指纹图像评价方法中，获得在指纹图像内提供的参考点的浓度，并且获得从参考点偏移预定距离的比较点的浓度。 基于参考点的密度和比较点的密度之间的差异来评估指纹图像中包含的指纹脊线信息量。 在该指纹图像评价方法中，利用指纹脊线的特征，其中指纹纹线存在于指纹脊线的近侧。 因此，可以防止将实际上不是指纹图像的图像确定为指纹图像的错误确定。 此外，仅需要获得参考点的密度和比较点的密度，并计算它们的差异。 因此，不需要耗费时间的处理，例如从指纹图像中提取特征点。

公开(公告)号：US07079672B2

公开(公告)日：2006-07-18

申请号：US09937623

申请日：2001-01-26

申请人： Noriyuki Matsumoto ,  Hideyo Takeuchi

发明人： Noriyuki Matsumoto ,  Hideyo Takeuchi

IPC分类号： G06K9/00

CPC分类号： G06K9/00067 ,  G06K9/00006

摘要： The present invention determines whether fingerprint ridgeline information is contained within the fingerprint image using a simple method by considering the properties of the fingerprint ridgeline. In this fingerprint image evaluation method, a density is obtained of a reference point provided within the fingerprint image and a density is obtained of a comparison point that is shifted from the reference point by a predetermined distance. The amount of fingerprint ridgeline information contained within the fingerprint image is evaluated based upon a difference between the density of the reference point and the density of the comparison point. In this fingerprint image evaluation method, the characteristic of the fingerprint ridgeline, in which a fingerprint furrow line exists proximally to the fingerprint ridgeline, is utilized. Therefore, erroneous determinations can be prevented in which an image, which is not in fact a fingerprint image, is determined to be a fingerprint image. In addition, it is only required to obtain the density of the reference point and the density of the comparison point, and to calculated their difference. Therefore, time consuming processing is not necessary, such as is required to extract characteristic points from a fingerprint image.