Abstract: Provided is a method for polynomial reconstruction in a fuzzy vault system, which includes receiving a set of matching minutiae to select a minutiae combination to be used for the polynomial reconstruction; generating simultaneous equations using the selected minutiae combination; determining whether a root of the simultaneous equations exists; and reconstructing the polynomial using the selected minutiae combination when the root of the simultaneous equations exists. The high-speed processing polynomial reconstruction method may perform polynomial reconstruction in real time, without using a separate key of a user, and thus may be applicable to various types of fuzzy vault systems.

Abstract: Provided is a method for polynomial reconstruction in a fuzzy vault system, which includes receiving a set of matching minutiae to select a minutiae combination to be used for the polynomial reconstruction; generating a simultaneous equation using the selected minutiae combination; determining whether a root of the simultaneous equation exists; and reconstructing the polynomial using the selected minutiae combination when the root of the simultaneous equation exists. The high-speed processing polynomial reconstruction method may perform polynomial reconstruction in real time, without using a separate key of a user, and thus may be applicable to various types of fuzzy vault systems.

Abstract: In an apparatus for online signature verification, a signature data input unit digitalizes a locus of a user signature and reads the locus as a sequence of points. A first and a second pattern transform unit performs a speed equalization and a velocity transform on the signature sequence and generates a first and a second transformed pattern sequence, respectively. A characteristics extraction unit extracts three characteristics vectors from the signature sequence, the first and the second transformed pattern sequence, respectively, to thereby generate the three characteristics vectors. A difference vector estimation unit generates a difference vector. A determination unit determines whether an input signature and the reference signature are signed by a single person.

Abstract: Provided is a method and apparatus for authenticating a fingerprint by hiding minutiae, securely storing information on the fingerprint, and authenticating the information on the fingerprint in order to prevent the information on the fingerprint from being reused by an attacker who accesses the information on the fingerprint that is stored in a storage unit. The method for recognizing fingerprint by hiding minutiae of a fingerprint adds fake minutiae information to genuine minutiae information, hides fingerprint information using a polynomial, which is generated based on personal intrinsic information, and stores the fingerprint information, thereby securely protecting the fingerprint information from an external attacker, and preventing the fingerprint information accessed by the attacker from being reused since the attacker cannot know the genuine minutiae.

Abstract: A system for performing face registration and authentication using face information, and a method thereof. A set of readily distinguishable features for each user is selected at a registration step and only the set of features selected at the registration step is used at a face authentication step, whereby memory use according to unnecessary information and amount of data calculation for face authentication can be reduced. Thus, the present system has an advantage in that identity authentication through face authentication can be performed even under restricted environments of a USB token or smart card with limited resources. The present system further has advantages in that authentication performance is improved, as readily distinguishable feature information is used, and the time for face authentication is reduced, as face authentication is performed using the SVM built by using the optimal set of readily distinguishable features at a training step.

Abstract: In an apparatus for authenticating a user by employing feature points of a fingerprint image of the user, a fingerprint image input circuit scans a fingerprint of a user to be registered to provide a first fingerprint image and a fingerprint of a user to be authenticated to provide a second fingerprint image. A host provides registered feature points data corresponding to the first fingerprint image and target feature points data corresponding to the second fingerprint image. A security token circuit estimates a position difference and a direction difference between pairs of a registered feature point and a target feature point and corrects the two feature points based on the position difference and the direction difference to provide authentication result data.

Abstract: In an apparatus for online signature verification, a signature data input unit digitalizes a locus of a user signature and reads the locus as a sequence of points. A first and a second pattern transform unit performs a speed equalization and a velocity transform on the signature sequence and generates a first and a second transformed pattern sequence, respectively. A characteristics extraction unit extracts three characteristics vectors from the signature sequence, the first and the second transformed pattern sequence, respectively, to thereby generate the three characteristics vectors. A difference vector estimation unit generates a difference vector. A determination unit determines whether an input signature and the reference signature are signed by a single person.

Abstract: In an apparatus for authenticating a user by employing feature points of a fingerprint image of the user, a fingerprint image input circuit scans a fingerprint of a user to be registered to provide a first fingerprint image and a fingerprint of a user to be authenticated to provide a second fingerprint image. A host provides registered feature points data corresponding to the first fingerprint image and target feature points data corresponding to the second fingerprint image. A security token circuit estimates a position difference and a direction difference between pairs of a registered feature point and a target feature point and corrects the two feature points based on the position difference and the direction difference to provide authentication result data.

Abstract: A system for performing face registration and authentication using face information, and a method thereof. A set of readily distinguishable features for each user is selected at a registration step and only the set of features selected at the registration step is used at a face authentication step, whereby memory use according to unnecessary information and amount of data calculation for face authentication can be reduced. Thus, the present system has an advantage in that identity authentication through face authentication can be performed even under restricted environments of a USB token or smart card with limited resources. The present system further has advantages in that authentication performance is improved, as readily distinguishable feature information is used, and the time for face authentication is reduced, as face authentication is performed using the SVM built by using the optimal set of readily distinguishable features at a training step.