Abstract: Provided is a heterocyclic compound that can have an antagonistic action on an NMD A receptor containing the NR2B subunit and that is expected to be useful as a prophylactic or therapeutic agent for depression, bipolar disorder, migraine, pain, peripheral symptoms of dementia and the like. A compound represented by the formula (I), wherein each symbol is as defined in the DESCRIPTION, or a salt thereof.

Abstract: The present invention is a biometric authentication apparatus comprising, a fingertip sensor mounted on a tip placement surface of a tip placement section for placing a tip of a finger cushion said fingertip sensor detecting displacement of an arrangement position of a finger on the tip placement surface of the tip placement section, wherein the biometric authentication apparatus detects the displacement of a position of the tip of the finger cushion.

Abstract: A biometric authentication apparatus of the present invention comprises: a finger-tip placing detecting means for detecting placing of a finger-tip onto a finger-tip placing section; a finger-base-part placing detecting means for detecting placing of a finger-base part onto a finger-base-part placing section; and a guidance means for conducting guidance of whether or not the finger-tip or the finger-base part has been placed, on the basis of the results of the detections conducted by the finger-tip placing detecting means and the finger-base-part placing detecting means.

Abstract: A classifier learning apparatus (100) includes: an object acquisition unit (101) that acquires a set of reference vectors and assigned category information of the respective reference vectors as a processing object; a specifying unit (102) that specifies an internal nearest neighbor reference vector nearest to a sample vector among the reference vectors assigned to the same category as the sample vector and specifies an external nearest neighbor reference vector nearest to the sample vector among the reference vectors assigned to a category different from that of the sample vector; a calculation unit (103) that calculates an evaluation value of the processing object using a distance between the sample vector and a classification boundary formed by the internal nearest neighbor reference vector and the external nearest neighbor reference vector; and an updating unit (104) that updates an original set of reference vectors and original assigned category information with the processing object based on the evaluat

Abstract: The present invention is a biometric authentication apparatus comprising, a fingertip sensor mounted on a tip placement surface of a tip placement section for placing a tip of a finger cushion said fingertip sensor detecting displacement of an arrangement position of a finger on the tip placement surface of the tip placement section, wherein the biometric authentication apparatus detects the displacement of a position of the tip of the finger cushion.

Abstract: The present invention is a biometric authentication apparatus comprising, a fingertip sensor mounted on a tip placement surface of a tip placement section for placing a tip of a finger cushion said fingertip sensor detecting displacement of an arrangement position of a finger on the tip placement surface of the tip placement section, wherein the biometric authentication apparatus detects the displacement of a position of the tip of the finger cushion.

Abstract: [Problem] To separate biological patterns more efficiently and effectively. [Solution] An image processing apparatus according to the present invention is characterized by comprising: an image obtaining means for obtaining an image in which a first biological pattern and a second biological pattern having different textures are superimposed; a normalizing means for normalizing density of the image on the basis of an average and a standard deviation of pixel values inside a local region in the image using a parameter in accordance with difference in texture between the first biological pattern and the second biological pattern to thereby separate the first biological pattern and the second biological pattern in the image; and a pattern collating means for collating a known pattern for collation with each of the first biological pattern and the second biological pattern separated by the normalizing means.

Abstract: The similarity calculation device is provided with a displacement vector estimation unit 101 for estimating a displacement vector between a first local region set in a first image, and a second local region which is most similar to the first local region in a second image, a geometric transformation parameter estimation unit 102 for estimating a geometric transformation parameter which geometrically transforms the first image into the second image, a displacement vector correction unit 103 for correcting the displacement vector based on the geometric transformation parameter, a scoring unit 104 for scoring the displacement vector, corrected by the displacement vector correction unit 103, in a two-dimensional space and creating a scored image, a peak detection unit 105 for detecting a peak in the scored image, and a similarity calculation unit 106 for calculating a similarity of the first image and the second image according to a size of the peak.

Abstract: Provided are a collating device, a processing method and a collation program, in which a reference line is extracted from an image and each partial image is moved in a manner that the reference line becomes a predetermined one thereby to correct the image, and in which the corrected image is collated so that an authentication result can be obtained for a short time period without any rotating operation. At first, a reference line extracting unit extracts the center line or the contour line of the image as the reference line. Next, an image correcting unit moves each partial image in parallel thereby to correct the image so that the reference line obtained by the reference line extracting unit becomes a predetermined one. Moreover, an image collating unit collates the image corrected by the image correcting unit and a predetermined image to acquire an authentication result.

Abstract: A 2-dimensional pattern matching method contains a process of extracting a query feature data by projecting a vector representation of either of a query 2-dimensional pattern and a transformed query 2-dimensional pattern which is generated by transforming the query 2-dimensional pattern, to a feature space. An enrollment feature data as previously enrolled and a query feature data are inversely projected to the 2-dimensional pattern representation space which has the dimension of the vector representation and the similarity is calculated. The data size of a feature amount is small and a matching technique robust to the positional displacement and the image distortion is provided.

Abstract: Provided is a biometric authentication device that can enhance usability, suppress deterioration of authentication accuracy due to ambient noise, and increase tolerance to wiretapping. A biometric authentication device generates a signal pattern toward a living body by using a signal pattern generating means 11, and transmits the signal pattern to the living body in accordance with the signal pattern by a signal transmitting means 12. Further, the device receives a response signal transmitted through the living body by a signal receiving means 13. The device then calculates transfer feature in accordance with the signal pattern and the response signal by a transfer feature calculating means 14. Further, the device extracts and collates a feature amount in accordance with the transfer features.

Abstract: A biometric authentication apparatus of the present invention comprises: a finger-tip placing detecting means for detecting placing of a finger-tip onto a finger-tip placing section; a finger-base-part placing detecting means for detecting placing of a finger-base part onto a finger-base-part placing section; and a guidance means for conducting guidance of whether or not the finger-tip or the finger-base part has been placed, on the basis of the results of the detections conducted by the finger-tip placing detecting means and the finger-base-part placing detecting means.

Abstract: The present invention is a biometric authentication apparatus comprising, a fingertip sensor mounted on a tip placement surface of a tip placement section for placing a tip of a finger cushion said fingertip sensor detecting displacement of an arrangement position of a finger on the tip placement surface of the tip placement section, wherein the biometric authentication apparatus detects the displacement of a position of the tip of the finger cushion.

Abstract: To separate biological patterns more efficiently and effectively. [Solution] An image processing apparatus according to the present invention is characterized by comprising: an image obtaining means for obtaining an image in which a first biological pattern and a second biological pattern having different textures are superimposed; a normalizing means for normalizing density of the image on the basis of an average and a standard deviation of pixel values inside a local region in the image using a parameter in accordance with difference in texture between the first biological pattern and the second biological pattern to thereby separate the first biological pattern and the second biological pattern in the image; and a pattern collating means for collating a known pattern for collation with each of the first biological pattern and the second biological pattern separated by the normalizing means.

Abstract: The similarity calculation device is provided with a displacement vector estimation unit 101 for estimating a displacement vector between a first local region set in a first image, and a second local region which is most similar to the first local region in a second image, a geometric transformation parameter estimation unit 102 for estimating a geometric transformation parameter which geometrically transforms the first image into the second image, a displacement vector correction unit 103 for correcting the displacement vector based on the geometric transformation parameter, a scoring unit 104 for scoring the displacement vector, corrected by the displacement vector correction unit 103, in a two-dimensional space and creating a scored image, a peak detection unit 105 for detecting a peak in the scored image, and a similarity calculation unit 106 for calculating a similarity of the first image and the second image according to a size of the peak.

Abstract: An input pattern feature amount is decomposed into element vectors. For each of the feature vectors, a discriminant matrix obtained by discriminant analysis is prepared in advance. Each of the feature vectors is projected into a discriminant space defined by the discriminant matrix and the dimensions are compressed. According to the feature vector obtained, projection is performed again by the discriminant matrix to calculate the feature vector, thereby suppressing reduction of the feature amount effective for the discrimination and performing effective feature extraction.

Abstract: A pattern matching device 1 includes an image obtaining unit 101 that obtains an image of a subject containing plural types of biometric patterns. Further, the pattern matching device 1 includes a separation-and-extraction unit 102 that separates and extracts the plural types of biometric patterns from the image. Yet further, the pattern matching device 1 includes a matching unit 103 that matches the separated and extracted plural types of biometric patterns against pre-registered biological information for matching, thereby to derive plural matching results.

Abstract: Provided are a collating device, a processing method and a collation program, in which a reference line is extracted from an image and each partial image is moved in a manner that the reference line becomes a predetermined one thereby to correct the image, and in which the corrected image is collated so that an authentication result can be obtained for a short time period without any rotating operation. At first, a reference line extracting unit extracts the center line or the contour line of the image as the reference line. Next, an image correcting unit moves each partial image in parallel thereby to correct the image so that the reference line obtained by the reference line extracting unit becomes a predetermined one. Moreover, an image collating unit collates the image corrected by the image correcting unit and a predetermined image to acquire an authentication result.

Abstract: Provided is a biometric authentication device that can enhance usability, suppress deterioration of authentication accuracy due to ambient noise, and increase tolerance to wiretapping. A biometric authentication device generates a signal pattern toward a living body by using a signal pattern generating means 11, and transmits the signal pattern to the living body in accordance with the signal pattern by a signal transmitting means 12. Further, the device receives a response signal transmitted through the living body by a signal receiving means 13. The device then calculates transfer feature in accordance with the signal pattern and the response signal by a transfer feature calculating means 14. Further, the device extracts and collates a feature amount in accordance with the transfer features.

Abstract: A 2-dimensional pattern matching method contains a process of extracting a query feature data by projecting a vector representation of either of a query 2-dimensional pattern and a transformed query 2-dimensional pattern which is generated by transforming the query 2-dimensional pattern, to a feature space. An enrollment feature data as previously enrolled and a query feature data are inversely projected to the 2-dimensional pattern representation space which has the dimension of the vector representation and the similarity is calculated. The data size of a feature amount is small and a matching technique robust to the positional displacement and the image distortion is provided.