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1. 发明申请

US20090212929A1 Verifying Vehicle Authenticity 审中-公开
标题翻译：验证车辆真实性
公开(公告)号：US20090212929A1
公开(公告)日：2009-08-27
申请号：US12037946
申请日：2008-02-27
申请人： Tal Drory , Amir Geva , Asaf Tzadok , Eugeniusz Walach
发明人： Tal Drory , Amir Geva , Asaf Tzadok , Eugeniusz Walach
IPC分类号： B60R25/10
CPC分类号： B60R25/10 , B60R2325/105 , G08G1/017 , G08G1/0175
摘要： A method for verifying authenticity of a vehicle, including programming a device to sequentially change a device element to an altered device element according to a change device element algorithm, and attaching the device to the vehicle. The method also includes generating the altered device element, and verifying that the altered device element matches an expected device element generated by the algorithm.
摘要翻译：一种用于验证车辆的真实性的方法，包括编程设备以根据改变设备元素算法将设备元件顺序地更改为更改的设备元件，以及将设备附接到车辆。该方法还包括生成改变的设备元件，以及验证改变的设备元件是否与由算法生成的期望的设备元件匹配。

2. 发明申请

US20130339836A1 Compliance Verification Using Field Monitoring in a Computing Environment 审中-公开
标题翻译：在计算环境中使用现场监控的合规验证
公开(公告)号：US20130339836A1
公开(公告)日：2013-12-19
申请号：US13517629
申请日：2012-06-14
申请人： Tal Drory , Amir Geva , Asaf Tzadok , Eugene Walach
发明人： Tal Drory , Amir Geva , Asaf Tzadok , Eugene Walach
IPC分类号： G06F17/24
CPC分类号： G06F17/2725 , G06F17/24 , G06Q10/0635
摘要： Systems and methods for enforcing compliance in a computing environment, the method comprising concurrently and independently executing a monitoring application with a first application utilized by a user, wherein navigating beyond a first decision point in the first application requires the user considering values associated with one or more elements in the first application, wherein the monitoring application monitors elements presented to the user to determine which elements are presented to the user at a point in time; and notifying the user of at least a first element, in response to not having been able to confirm whether a value associated with the first element has been considered by the user prior to said first decision point.
摘要翻译：用于在计算环境中执行合规性的系统和方法，所述方法包括同时且独立地执行具有用户所利用的第一应用的监视应用，其中在第一应用中超出第一决策点的导航需要用户考虑与一个或所述第一应用中的更多元件，其中所述监视应用监视呈现给所述用户的元素，以确定哪些元素在某个时间点呈现给所述用户; 以及响应于在所述第一判定点之前是否已经能够确认与所述第一元素相关联的值是否已经被所述用户考虑的响应，通知所述用户至少第一元素。

3. 发明授权

US08116567B2 Digitizing documents 有权
标题翻译：数字化文件
公开(公告)号：US08116567B2
公开(公告)日：2012-02-14
申请号：US12246626
申请日：2008-10-07
申请人： Asaf Tzadok , Eugeniusz Walach
发明人： Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00442 , G06K2209/01
摘要： Techniques for performing page verification of a document are provided. The techniques include performing a recognition technique on a document to recognize one or more objects in the document, excluding the one or more recognized objects from the document, and performing page verification of the document, wherein page verification comprises visual inspection of the document excluding the one or more recognized objects.
摘要翻译：提供用于执行文档的页面验证的技术。这些技术包括在文档上执行识别技术以识别文档中的一个或多个对象，从文档中排除一个或多个识别的对象，以及执行文档的页面验证，其中页面验证包括不包括文档的文档的目视检查一个或多个识别的对象。

4. 发明申请

US20090263019A1 OCR of books by word recognition 失效
标题翻译： OCR的书籍通过单词识别
公开(公告)号：US20090263019A1
公开(公告)日：2009-10-22
申请号：US12103717
申请日：2008-04-16
申请人： Asaf Tzadok , Eugeniusz WALACH
发明人： Asaf Tzadok , Eugeniusz WALACH
IPC分类号： G06K9/34
CPC分类号： G06K9/00852 , G06K9/6255
摘要： Disclosed embodiments of the invention provide automated global optimization methods and systems of OCR, tailored to each document being digitized. A document-specific database is created from an OCR scan of a document of interest, which contains an exhaustive listing of words in the document. Images of each word, taken from all the fonts encountered, are entered into the database and mapped to a corresponding textual representation. After entry of a first instance of an image of a word written in a particular font, each new occurrence of the word in that font can be quickly recognized by image processing techniques. The disclosed methods and systems may be used in conjunction with adaptive character recognition training and word recognition training of the OCR engines.
摘要翻译：本发明的公开的实施例提供针对正被数字化的每个文档的自动化全局优化方法和OCR系统。从文档的OCR扫描创建文档特定的数据库，其中包含文档中单词的详尽列表。从遇到的所有字体中取出的每个单词的图像都将输入到数据库中，并映射到相应的文本表示。在以特定字体写入的单词的图像的第一实例输入之后，可以通过图像处理技术快速识别该字体中的单词的新出现。所公开的方法和系统可以与OCR引擎的自适应字符识别训练和字识别训练结合使用。

5. 发明授权

US08494273B2 Adaptive optical character recognition on a document with distorted characters 有权
标题翻译：具有失真字符的文档的自适应光学字符识别
公开(公告)号：US08494273B2
公开(公告)日：2013-07-23
申请号：US12876145
申请日：2010-09-05
申请人： Dan Shmuel Chevion , Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
发明人： Dan Shmuel Chevion , Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/00 , G06K9/48
CPC分类号： G06K9/344 , G06K9/6206 , G06K9/6255 , G06K2209/01
摘要： A computer implemented method for adaptive optical character recognition on a document with distorted characters includes performing a distortion-correction transformation on a segmented character of the document assuming the segmented character to be a candidate character. The method further includes comparing the transformed segmented character to the candidate character by calculating a comparison score. If the calculated score is within a predetermined range, the segmented character is identified with the candidate character. The method may be implemented in either of computer hardware configured to perform the method, or in computer software embodied in a non-transitory, tangible, computer-readable storage medium. Also disclosed are corresponding computer program product and data processing system.
摘要翻译：用于在具有失真字符的文档上进行自适应光学字符识别的计算机实现方法包括对分段字符作为候选字符执行对文档的分割字符的失真校正变换。该方法还包括通过计算比较分数来比较变换的分割字符与候选字符。如果计算出的分数在预定范围内，则用候选人物识别分割的角色。该方法可以被配置为执行该方法的计算机硬件中的任一个，或者体现在非暂时的，有形的，计算机可读存储介质中的计算机软件中。还公开了相应的计算机程序产品和数据处理系统。

6. 发明申请

US20120099792A1 ADAPTIVE OPTICAL CHARACTER RECOGNITION ON A DOCUMENT WITH DISTORTED CHARACTERS 有权
标题翻译：具有失真字符的文档的自适应光学字符识别
公开(公告)号：US20120099792A1
公开(公告)日：2012-04-26
申请号：US12876145
申请日：2010-09-05
申请人： Dan Shmuel Chevion , Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
发明人： Dan Shmuel Chevion , Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/18
CPC分类号： G06K9/344 , G06K9/6206 , G06K9/6255 , G06K2209/01
摘要： A computer implemented method for adaptive optical character recognition on a document with distorted characters includes performing a distortion-correction transformation on a segmented character of the document assuming the segmented character to be a candidate character. The method further includes comparing the transformed segmented character to the candidate character by calculating a comparison score. If the calculated score is within a predetermined range, the segmented character is identified with the candidate character. The method may be implemented in either of computer hardware configured to perform the method, or in computer software embodied in a non-transitory, tangible, computer-readable storage medium. Also disclosed are corresponding computer program product and data processing system.
摘要翻译：用于在具有失真字符的文档上进行自适应光学字符识别的计算机实现方法包括对分段字符作为候选字符执行对文档的分割字符的失真校正变换。该方法还包括通过计算比较分数来比较变换的分割字符与候选字符。如果计算出的分数在预定范围内，则用候选人物识别分割的角色。该方法可以被配置为执行该方法的计算机硬件中的任一个，或者体现在非暂时的，有形的，计算机可读存储介质中的计算机软件中。还公开了相应的计算机程序产品和数据处理系统。

7. 发明申请

US20110299775A1 CORRECTING PAGE CURL IN SCANNED BOOKS 审中-公开
标题翻译：在扫描书中修改页面曲线
公开(公告)号：US20110299775A1
公开(公告)日：2011-12-08
申请号：US12795809
申请日：2010-06-08
申请人： Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
发明人： Vladimir Kluzner , Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/34 , G06K9/40
CPC分类号： G06K9/3283 , G06K2009/363 , H04N1/387
摘要： A computer implemented method for correcting distortion in an image of a page includes identifying a set of high quality (HQ) words in undistorted regions of one or more images of pages having content related to the content of the page. At least one distorted word in the image the page is identified such that each distorted word corresponds to a high quality word of the set. A global transformation function is generated for application to the image of the page so as to tranform the distorted word into its corresponding high quality word. The global transformation function is applied to pixels of the image of the page.
摘要翻译：用于校正页面的图像中的失真的计算机实现的方法包括：在具有与所述页面的内容相关的内容的页面的一个或多个图像的未失真区域中标识一组高质量（HQ）字。图像中的至少一个失真的字被识别，使得每个失真的字对应于该集合的高质量字。生成全局变换函数以应用于页面的图像，以便将失真的词转换成其相应的高质量词。全局变换函数适用于页面图像的像素。

8. 发明授权

US07480411B1 Adaptive OCR for books 失效
标题翻译：适用于OCR的书籍
公开(公告)号：US07480411B1
公开(公告)日：2009-01-20
申请号：US12040946
申请日：2008-03-03
申请人： Asaf Tzadok , Eugeniusz Walach
发明人： Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/18
CPC分类号： G06K9/03 , G06K9/6256
摘要： A system/method is presented for scanning entire books or document all at once using an adaptive process where the book or document has known fonts and unknown fonts. The known fonts are processed through a verification system where sure words and error words are determined. Both the sure words and error words are sent to OCR training where they are re-OCR'ed and repeatedly verified until they meet a predetermined quality criteria. Characters or word not meeting the predetermined quality criteria receive additional OCR training until all the characters and words pass the predetermined quality criteria. Unknown fonts are scanned and clustered together by shape. Outliers in the shapes are manually key-in. Those symbols that are manually classified go to OCR training and then to the known type optimization process.
摘要翻译：提出了一种用于使用书籍或文档已知字体和未知字体的自适应过程立即扫描整本书或文档的系统/方法。已知字体通过验证系统进行处理，确定单词和错误字。将确定的单词和错误词都发送到OCR培训，在那里他们被重新验证并重复验证，直到达到预定的质量标准。不满足预定质量标准的字符或词语接收额外的OCR训练，直到所有字符和单词通过预定的质量标准。未知的字体被扫描并通过形状聚集在一起。形状中的异常值被手动键入。手动分类的符号进行OCR训练，然后进行已知的类型优化过程。

9. 发明授权

US08103132B2 Fast key-in for machine-printed OCR-based systems 失效
标题翻译：快速键入机器打印的基于OCR的系统
公开(公告)号：US08103132B2
公开(公告)日：2012-01-24
申请号：US12060150
申请日：2008-03-31
申请人： Asaf Tzadok , Eugeniusz Walach
发明人： Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/03
CPC分类号： G06K9/033
摘要： A method for correcting results of OCR or other scanned symbols. Initially scanning and performing OCR classification on a document. Clustering character/symbol classifications resulting from the OCR based on shapes. Creating super-symbols based on at least a first difference in the shapes of the clustered characters/symbols exceeding a first threshold. A carpet of super-symbols, emphasizing localized differences in similar symbols, is displayed for analysis testing. Depending on results of analysis testing, performing one of: (1) storing the clustered symbols when the carpet of super-symbols passes all of the analysis testing; (2) creating additional super-symbols based on at least a second difference in the shapes of the clustered symbols exceeding a second threshold and returning to analysis testing when the carpet of super-symbols passes most of the analysis testing; and (3) rejecting the clustered symbols when the carpet of super-symbols fails most of the analysis testing and manually keying-in the symbols.
摘要翻译：一种校正OCR或其他扫描符号结果的方法。最初扫描并对文档执行OCR分类。基于形状的OCR产生的聚类字符/符号分类。基于超过第一阈值的聚集字符/符号的形状的至少第一差异创建超符号。显示超级符号地毯，强调类似符号的本地化差异，用于分析测试。根据分析测试的结果，执行以下操作之一：（1）当超符号的地毯通过所有分析测试时，存储聚簇符号; （2）基于超过第二阈值的聚集符号的形状的至少第二差异创建额外的超符号，并返回到超符号的地毯何时通过大部分分析测试的分析测试; 和（3）当超符号的毯子失败大部分分析测试并手动键入符号时，拒绝聚簇符号。

10. 发明授权

US07627177B2 Adaptive OCR for books 失效
标题翻译：适用于OCR的书籍
公开(公告)号：US07627177B2
公开(公告)日：2009-12-01
申请号：US12276907
申请日：2008-11-24
申请人： Asaf Tzadok , Eugeniusz Walach
发明人： Asaf Tzadok , Eugeniusz Walach
IPC分类号： G06K9/18
CPC分类号： G06K9/03 , G06K9/6256
摘要： A system is presented for scanning entire books or document all at once using an adaptive process where the book or document has known fonts and unknown fonts. The known fonts are processed through a verification system where sure words and error words are determined. Both the sure words and error words are sent to OCR training where they are re-OCR'ed and repeatedly verified until they meet a predetermined quality criteria. Characters or words not meeting the predetermined quality criteria receive additional OCR training until all the characters and words pass the predetermined quality criteria. Unknown fonts are scanned and clustered together by shape. Outliers in the shapes are manually keyed-in. Those symbols that are manually classified go to OCR training and then to the known type optimization process.
摘要翻译：提供了一种用于使用自动过程扫描整本书或文档的系统，其中书或文档已知字体和未知字体。已知字体通过验证系统进行处理，确定单词和错误字。将确定的单词和错误词都发送到OCR培训，在那里他们被重新验证并重复验证，直到达到预定的质量标准。不满足预定质量标准的字符或词语接收额外的OCR训练，直到所有字符和单词通过预定的质量标准。未知的字体被扫描并通过形状聚集在一起。形状中的异常值被手动键入。手动分类的符号进行OCR训练，然后进行已知的类型优化过程。

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