照合

WO2013166126(特表2015-519652)
"[0089] The trust broker 407 can also be configured to parse（解析）, normalize and collate（照合）received integrity reports 406. In accordance with embodiments, the parsing, normalizing, and/or collating can be based on one or more object identifiers. Exemplary object identifiers can include, but are not limited to, machine hostnames, IP addresses, application names, and package names. This parsing, normalization, and collation (collectively, processing) generates temporal events 409 that annotate（注釈を付ける）the state of the endpoints (devices) at scan time."

WO2014093227(特表2015-536519)
(Ab)
"A method and apparatus for biometric iris matching（虹彩照合）comprising pre-processing an input image capturing one or more eyes to produce one or more rectified iris images, coding the one or more rectified iris images into one or more multiresolution iris codes and matching the one or more multiresolution iris code with（照合する）a set of stored multiresolution iris codes to determine whether a match exists."

"[0002] Current iris recognition-based biometric devices impose strict requirements on the image capture（画像捕捉；＊撮像）process in order to meet the needs of iris biometric analysis. No methods exist to make use of iris biometric information that does not（＊"does not"は不要では？）meet these strict requirements. For example, images captured of downward cast eyes, eyes at oblique angles to a capturing device, or in differing light conditions often cannot be matched（照合）by current iris matching systems. Current iris biometric applications therefore must tailor image capture to existing processing."

"[0031] The output code from the coding processor 104 is coupled to the matching processor 106. The matching processor 106 incorporates constrained active alignment of iris structure information between stored iris images and captured iris codes generated from the input image 101 to compensate for limitations in iris image normalization by the pre-processor 102. The matching processor 106 performs alignment（整列）by performing local shifting or warping of the code to match the generated code with（に対して照合する）a stored iris code template based on estimated residual distortion of the code generated by the coding processor 104. According to some embodiments, a "barrel shift" algorithm is employed to perform the alignment. Accordingly, structural correspondences are registered and the matching processor 106 compares（比較する）the aligned codes to determine whether a match（合致）exists. If a match is found, the matching processor returns matched iris data 108."

US6499013(特表2002-524806)
(Ab)
"A system and method to interact with a computer using utterances（発語）, speech processing and natural language processing. The system comprises a speech processor to search a first grammar file for a matching phrase（照合対象語句；＊一致語句？）for the utterance, and to search a second grammar file for the matching phrase if the matching phrase is not found in the first grammar file. The system also includes a natural language processor to search a database for a matching entry for the matching phrase; and an application interface to perform an action associated with the matching entry if the matching entry is found in the database. The system utilizes context-specific grammars, thereby enhancing speech recognition and natural language processing efficiency. Additionally, the system adaptively and interactively "learns（学習）" words and phrases, and their associated meanings."

WO2015195751(特表2017-525236)
"7. The method of claim 1, wherein establishing the bidirectional trust with the enhanced remote location is based on:
communicating a request to the external security component for at least a second portion of the validation credentials;
receiving the second portion of the validation credentials, wherein the second portion of the validation credentials include at least a certificate signed with a root authority having identification information; and
matching the identification information with（照合する）manufacture- based secure authentication information in the authentication credentials."

WO2015117681(特表2017-511627)
"7. The device of any one of the preceding claims, wherein said scene recognition comprises applying an algorithm selected from the group consisting of calculating the unique digital signature of an image and then matching that signature against（と照合する）those of other photos, of discriminative feature mining, of contour-based shape descriptors, of deep Fisher networks, of Bag of Words, of support vector machines, of deep learning, of face detection, of template matching based on the
characteristic shapes and colors of objects, and a combination thereof."

WO2015130421(特表2017-510012)
"1. An apparatus comprising:
a data retriever (308) configured to retrieve engineering data for each part in a set of parts (226) identified by a visualization tool (306) and store the engineering data in a file system (324) on a portable device (232);
a table generator (310) configured to create a set of entries (330) for the set of parts (226) to form a table (328) in the file system (324), wherein an entry (332) in the set of entries (330) includes a corresponding part identifier (334) and a corresponding target locator (335) for a part in the set of parts (226) ;
a mapper (312) configured to match an initial locator (344) constructed by the visualization tool (306) to（と照合する）a target locator (350) in the table (328) for a selected part (336) from the set of parts (226), wherein the target locator (350) identifies a physical location of requested engineering data (352) for the selected part (336) in the file system (324); and
a local server (316) located on the portable device (232) and configured to retrieve the requested engineering data (352) based on the physical location identified and serve the requested engineering data (352) for the selected part (336) to a browser (342), wherein the requested engineering data (352) is displayed in the browser (342) for use in performing an operation on the selected part (336) ."

WO2013049192(特表2014-530433)
"13. The electronic device as recited in claim 12, further comprising:
transmitting a message to the host that identifies the portion of the electronic money transmitted to the payee, wherein the message transmitted to the host verifies（照合；＊検証）an authenticity of the payment of the portion of the electronic money to the payee."

WO2012058487(特表2014-501066)
"6. The computer-implemented method of claim 5, wherein determining the type for each data stream element comprises:
if the type of the data stream element is known, identifying a parser corresponding to the type of the data stream element; and
if the type of the data stream element is not known,
applying a plurality of signatures to the data stream element until finding a matching signature（照合するシグネチャ；合致、一致）, each of the plurality of signatures corresponding to a particular type,
identifying the type of the data stream element using the matching signature, and
identifying a parser corresponding to the type of the data stream element."