Abstract: A stream data processing apparatus creates a plurality of partition data on the basis of stream data, and distributes the partition data to a plurality of computers. Specifically, the stream data processing apparatus acquires from the stream data a data element group that is configured in the number of data elements based on the processing capability of the partition data destination computer, and decides an auxiliary data part of this data element group based on a predetermined value. The stream data processing apparatus creates partition data that include the acquired data element group and END data. The data element group is configured from the auxiliary data part and a result usage data part.

Abstract: A biometric authentication method for a computer system, the computer system comprising: a computer; and an authentication server, the biometric authentication method including steps of: extracting a first feature from the captured biometric information; generating a template polynomial for enrollment; extracting a second feature from the captured biometric information; generating a template polynomial for authentication; generating a correlation function for calculating a correlation between the template polynomial for authentication and the enrolled template polynomial; calculating a correlation value between the template polynomial for authentication and the enrolled template polynomial by using the generated correlation function, and determining based on the calculated correlation value whether or not the biometric information at the time of authentication coincides with the biometric information enrolled.

Abstract: A biometric authentication method for a computer system, the computer system comprising: a computer; and an authentication server, the biometric authentication method including steps of: extracting a first feature from the captured biometric information; generating a template polynomial for enrollment; extracting a second feature from the captured biometric information; generating a template polynomial for authentication; generating a correlation function for calculating a correlation between the template polynomial for authentication and the enrolled template polynomial; calculating a correlation value between the template polynomial for authentication and the enrolled template polynomial by using the generated correlation function, and determining based on the calculated correlation value whether or not the biometric information at the time of authentication coincides with the biometric information enrolled.

Abstract: A signature generation and verification system including a signature generation apparatus and a signature verification apparatus is provided. Based on signer certification information possessed by a signer, the signature generation apparatus generates a digital signature and verification data corresponding to a given electronic document and outputs the set of the digital signature and the verification data as signature data. Upon receipt of the electronic document and the signature data, the signature verification apparatus verifies the digital signature using the verification data to verify the integrity of the electronic document. As needed, the signature verification apparatus performs user identification ex-post facto by authenticating that the signer certification information from which the verification data was generated belongs to a legitimate user without knowledge of the signer certification information.

Abstract: By reducing both a WAP and an LAP to a certain value or lower, biometric authentication with high security is implemented. A template and a query sample are generated from biometric data of a user and they are matched. There, a query sample-specific impostor distribution, to which a score of a query sample and a template of an impostor follows, and a template-specific impostor distribution, to which a score of a template arid a query sample of an impostor follows, are estimated and user judgment is performed using one of them in which false accept is more difficult to occur.

Abstract: A biometric authentication method for a computer system, the computer system comprising: a computer; and an authentication server, the biometric authentication method including steps of: extracting a first feature from the captured biometric information; generating a template polynomial for enrollment; extracting a second feature from the captured biometric information; generating a template polynomial for authentication; generating a correlation function for calculating a correlation between the template polynomial for authentication and the enrolled template polynomial; calculating a correlation value between the template polynomial for authentication and the enrolled template polynomial by using the generated correlation function, and determining based on the calculated correlation value whether or not the biometric information at the time of authentication coincides with the biometric information enrolled.

Abstract: A biaxially oriented polyethylene terephthalate film has minimal curling, superior suitability for machining, and is an ideal base material film, and dimensional changes in various steps can be reduced particularly when the film is used as a base material film for a flexible device. This biaxially oriented polyethylene terephthalate film is made using at least a polyethylene terephthalate resin, wherein the average ((nMD+nTD)2) of the refractive index nMD in the length direction of the film and the refractive index nTD in the width direction thereof is 1.655-1.70, and the refractive index nZD in the thickness direction of the film is 1.490-1.520.

Abstract: At a time of enrollment, a client terminal: generates a feature polynomial from biometric information for enrollment; multiplies the feature polynomial by a prescribed integer; stores a helper polynomial obtained by multiplying an inverse polynomial of a template polynomial, a polynomial having a small norm; and transmits the template polynomial to an authentication server. The authentication server stores the template polynomial in a storage unit. At a time of authentication, the client terminal: generates a feature polynomial from biometric information for authentication; multiplies the helper polynomial by the feature polynomial; adds a random polynomial having a small norm to the authentication polynomial; and transmits the authentication polynomial to the authentication server.

Abstract: The present invention captures user's biometric data during enrollment and converts it by a given conversion parameter to create a template. It creates verification information for the conversion parameter, and enrolls it in an authentication server together with the template. The conversion parameter is stored in an IC card or the like for issuance to the user. During authentication, the authentication server verifies that the authentication terminal knows the conversion parameter, using conversion parameter verification information. Next, the authentication terminal converts user's biometric data newly captured by a conversion parameter to create matching information, and transmits it to the authentication server. The authentication server matches the matching information with the template to determine whether the user is a principal.

Abstract: A 1:N identification system having high convenience and safety is to be provided. An authentication client includes at least one biometric information input sensor and a feature extraction function. A database includes an enrollee ID and registered templates of biometric information of at least one kind every enrollee and includes a score table. An authentication server includes a prior probability setting function, a 1:N fast matching function for successively matching the feature with the registered templates of the enrollees and discontinuing matching processing when the number of times of matching has exceeded a predetermined threshold, a delta score calculation function for calculating a delta score by using a score obtained by the 1:N fast matching and using the score table, a posterior probability calculation function for calculating posterior probabilities respectively of the enrollees on the basis of the score and the delta score, and an authentication object user identification function.

Abstract: In additional enrollment of a template in a biometric authentication system, the template is automatically enrolled on the basis of a plurality of authentication results to assure a user's convenience and security. A post-migration authentication server receives a first template and a second template from a post-migration authentication terminal, performs authentication on the basis of the comparison result between the received first template and the user's preliminarily first enrolled template, and provisionally enrolls the first template and the second template. It repeats the reception, authentication, and provisional enrollment and calculates a match probability from a plurality of comparison results of the provisionally first enrolled templates, determines whether or not to store a second enrolled template on the basis of the match probability, and automatically enrolls the second template in the post-migration authentication server.

Abstract: In a biometric authentication system, a delivery server includes a parameter conversion unit which generates, by converting the parameter, a parameter for delivery, a template conversion unit which generates, by converting the template, a template for delivery, and a delivery unit which delivers the template for delivery and the parameter for delivery to one of the client terminal and an authentication device; the authentication device includes a sensor which obtains biometric information on a registered user, a feature quantity obtaining unit which obtains a feature quantity from the biometric information, and a feature quantity conversion unit which generates, by converting the feature quantity using the parameter for delivery, a converted feature quantity; and the client terminal includes a match determination unit which determines, by comparing the converted feature quantity with the template for delivery, whether or not the converted feature quantity and the template for delivery match.

Abstract: A personal authentication system using biometrics information. The system orders, when an characteristic element in the biometrics information (such as a characteristic point in a fingerprint) can be expressed with two types of information (such as, for instance, a coordinate values for a characteristic point in a fingerprint and a local partial image), the characteristic points using one type of information (for instance, local partial image) as label information, and outputs other type of information (such as coordinate values) as key information according to the order.

Abstract: At registration time, feature data array for registration is generated from biometric information, and position correction template and comparison template. At authentication time, feature data array for authentication is generated from biometric information acquired by the client, and converted feature data for position correction obtained by converting the feature data array for authentication is transmitted to the server. The server detects position correction amount of the feature data array for authentication relative to the feature data array for registration using the position correction template and the converted feature data, and transmits the position correction amount to client. Client corrects the feature data array for authentication and transmits the converted feature data array for comparison to the server.

Abstract: A biometric authentication method for a computer system, the computer system comprising: a computer; and an authentication server, the biometric authentication method including steps of: extracting a first feature from the captured biometric information; generating a template polynomial for enrollment; extracting a second feature from the captured biometric information; generating a template polynomial for authentication; generating a correlation function for calculating a correlation between the template polynomial for authentication and the enrolled template polynomial; calculating a correlation value between the template polynomial for authentication and the enrolled template polynomial by using the generated correlation function, and determining based on the calculated correlation value whether or not the biometric information at the time of authentication coincides with the biometric information enrolled.

Abstract: A biometric authentication system, authentication client terminal, and biometric authentication method are provided to reduce an expected value of the number of inputs of biometric data for authentication, while effectively preventing forgery. In a biometric authentication system, prior probabilities of enrolled users un and non-enrolled user u0 are previously set. 1:N matching is performed between feature data of a claimant v and matching feature data. The matching score is calculated for each enrolled user un. A ratio of the likelihood v=un to the likelihood v?un is calculated for each enrolled user un using the calculated matching scores. Posterior probabilities of the enrolled users un and non-enrolled user u0 are calculated, using the likelihood ratios, and the prior probabilities of both the enrolled users un and the non-enrolled user u0. Then, determination is made by comparing each posterior probability with a first threshold.

Abstract: A service providing system using the biometrics identification without inputting the user ID poses the problem that the consideration of a service is erroneously claimed to the registered user not using the service due to the erroneous identification. According to this invention, the threshold of the value of the degree of similarity for user identification is set strictly for each registered biometrics information of the user in accordance with the declaration of the loss caused by the erroneous identification.

Abstract: In a biometrics authentication system inputting biometric information and outputting a user ID, speedup of 1:N matching on the side of server is achieved when cancelable biometrics authentication is realized in which matching is carried out. During registration, similarity of a feature to a dummy feature is searched and the feature is transformed by using a transform parameter corresponding to a nearest neighboring dummy feature. The transformed feature and a group ID are transmitted to the server and the server registers the transformed feature at the group in a DB. During authentication, like the registration process, similarity search of a feature is carried out and the feature is transformed by using transform parameter corresponding to a nearest neighboring dummy feature. The transformed feature and group ID are transmitted to the server. The server executes 1:1 matching between a template a the group in the DB and the transformed feature.

Abstract: There is obtained a laser processing method by which an excellent shape of a cut surface can be achieved and an increase in cost can be suppressed. A laser processing method includes the steps of: preparing a material to be processed; and forming a modified area in the material to be processed, by irradiating the material to be processed with laser beam. In the aforementioned step, pulsed laser beam having a continuous spectrum is focused with a lens, thereby forming a focusing line constituted by a plurality of focuses that are obtained by predetermined bands forming the continuous spectrum of the laser beam, and the material to be processed is irradiated with the laser beam such that at least a part of the focusing line is located on a surface of the material to be processed, thereby forming the modified area on an axis of the focusing line.

Abstract: A pivot is determined from enrolled data by a pivot determination unit, raw data is acquired, features are extracted from the raw data, a score is calculated as one of a distance and a degree of similarity between the features, an index vector is generated by using the score for the pivot, a ? score is calculated as one of a distance and a degree of similarity between the index vectors, a parameter of each non-pivot including a regression coefficient is trained by using training data, order to select the non-pivots is, by using the ? score between search data and the non-pivot as well as the regression coefficient, determined in descending order of posterior probability through logistic regression, and a search result is outputted based on the score between the search data and the enrolled data.