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公开(公告)号：EP2289020A4
公开(公告)日：2012-01-25
申请号：EP09747085
申请日：2009-04-13
Applicant: IBM
Inventor： AGGARWAL GAURAV , BOLLE RUDOLF MAARTEN , JEA TSAI-YANG , RATHA NALINI KANTA
IPC: G06K9/00
CPC classification number: G06K9/00067 , G06K9/00073
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公开(公告)号：JP2001212112A
公开(公告)日：2001-08-07
申请号：JP2000367391
申请日：2000-12-01
Applicant: IBM
Inventor： BOLLE RUDOLF MAARTEN , DORAI CHITRA , RATHA NALINI K
Abstract: PROBLEM TO BE SOLVED: To provide a system and method for recognizing and identifying a subject under a series of changes controlled by the subject to biometrics and a record medium. SOLUTION: This invention defines new biometrics called as resultant biometrics. The resultant biometrics are a combination of the conventional biometrics and a change specifically controlled. In other words, signals of the resultant biometrics are arranged as a sequence of a short-interval biometrics signal and altered according to a specified pattern. A finger print or a palm print thus obtained is turned to a continuous pressing image, for example, by letting a subject apply a torque or a rotation or both thereof for an image gaining time length (a controlled change). A physical method of letting the subject deform the image makes an action apart of the resultant biometrics and the finger print of the palm print a physiological part of the resultant biometrics.
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公开(公告)号：AU685904B2
公开(公告)日：1998-01-29
申请号：AU1503495
申请日：1995-03-23
Applicant: IBM
Inventor： BOLLE RUDOLF MAARTEN , CONNELL JONATHAN HUDSON , HAAS NORMAN , MOHAN RAKESH , TAUBIN GABRIEL
Abstract: The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that it was not originally programmed to recognize.
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公开(公告)号：CA2717612C
公开(公告)日：2018-05-29
申请号：CA2717612
申请日：2009-04-13
Applicant: IBM
Inventor： AGGARWAL GAURAV , BOLLE RUDOLF MAARTEN , JEA TSAI-YANG , RATHA NALINI KANTA
IPC: G06K9/36
Abstract: Techniques for generating a gradient characterization for a first fingerprint image are provided. One or more fingerprint feature points are selected from the first fingerprint image. A region is obtained for each of the one or more selected fin-gerprint feature points. The region is a representation of an area proximate a given fingerprint feature point. Each of the obtained regions is divided into a plurality of sub-regions. A histogram is generated for each of the plurality of sub-regions. For each of the one or more selected fingerprint feature points, the one or more generated histograms are combined into a concatenated histogram. The concatenated histogram is used for identification purposes.
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公开(公告)号：AU1503495A
公开(公告)日：1995-11-09
申请号：AU1503495
申请日：1995-03-23
Applicant: IBM
Inventor： BOLLE RUDOLF MAARTEN , CONNELL JONATHAN HUDSON , HAAS NORMAN , MOHAN RAKESH , TAUBIN GABRIEL
Abstract: The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that it was not originally programmed to recognize.
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Patent Agency Ranking
公开(公告)号：AU2009246750B2
公开(公告)日：2014-04-03
申请号：AU2009246750
申请日：2009-04-13
Applicant: IBM
Inventor： JEA TSAI-YANG , AGGARWAL GAURAV , RATHA NALINI KANTA , BOLLE RUDOLF MAARTEN
IPC: G06K9/00
Abstract: Techniques for generating a gradient characterization for a first fingerprint image are provided. One or more fingerprint feature points are selected from the first fingerprint image. A region is obtained for each of the one or more selected fingerprint feature points. The region is a representation of an area proximate a given fingerprint feature point. Each of the obtained regions is divided into a plurality of sub-regions. A histogram is generated for each of the plurality of sub-regions. For each of the one or more selected fingerprint feature points, the one or more generated histograms are combined into a concatenated histogram. The concatenated histogram is used for identification purposes.
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公开(公告)号：CA2717612A1
公开(公告)日：2009-11-19
申请号：CA2717612
申请日：2009-04-13
Applicant: IBM
Inventor： AGGARWAL GAURAV , BOLLE RUDOLF MAARTEN , JEA TSAI-YANG , RATHA NALINI KANTA
IPC: G06K9/00
Abstract: Techniques for generating a gradient characterization for a first fingerprint image are provided. One or more fingerprint feature points are selected from the first fingerprint image. A region is obtained for each of the one or more selected fin-gerprint feature points. The region is a representation of an area proximate a given fingerprint feature point. Each of the obtained regions is divided into a plurality of sub-regions. A histogram is generated for each of the plurality of sub-regions. For each of the one or more selected fingerprint feature points, the one or more generated histograms are combined into a concatenated histogram. The concatenated histogram is used for identification purposes.
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公开(公告)号：DE69518947D1
公开(公告)日：2000-11-02
申请号：DE69518947
申请日：1995-02-24
Applicant: IBM
Inventor： BOLLE RUDOLF MAARTEN , CONNELL JONATHAN HUDSON , HAAS NORMAN , MOHAN RAKESH , TAUBIN GABRIEL
Abstract: The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that it was not originally programmed to recognize.
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公开(公告)号：IN190627B
公开(公告)日：2003-08-09
申请号：IN330DE1995
申请日：1995-02-28
Applicant: IBM
Inventor： MOHAN RAKESH , TAUBIN GABRIEL , BOLLE RUDOLF MAARTEN , CONNELL JONATHAN HUDSON , HASS NORMAN
IPC: G06K9/00
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公开(公告)号：ES2151000T3
公开(公告)日：2000-12-16
申请号：ES95102666
申请日：1995-02-24
Applicant: IBM
Inventor： BOLLE RUDOLF MAARTEN , CONNELL JONATHAN HUDSON , HAAS NORMAN , MOHAN RAKESH , TAUBIN GABRIEL
Abstract: The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that it was not originally programmed to recognize.
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