公开(公告)号：US06970877B2

公开(公告)日：2005-11-29

申请号：US10184367

申请日：2002-06-28

申请人： Henry Rowley ,  John Bennett ,  Ahmad Abdulkader ,  Petr Slavik

发明人： Henry Rowley ,  John Bennett ,  Ahmad Abdulkader ,  Petr Slavik

IPC分类号： G06F7/00 ,  G06F17/30 ,  G06K9/62

CPC分类号： G06K9/6255 ,  Y10S707/99931 ,  Y10S707/99942

摘要： A technique for reducing a prototype database for use with handwriting recognizers. The prototype database is divided into multiple spaces and the effect on the error rate for removing each prototype is identified. All prototypes that contribute to the error rate are removed. If further prototype database reduction is desired, the technique identifies and removes one or more prototypes that have the least adverse effect on the error rate across all spaces. The technique continues removing prototypes in this manner until a desired prototype database size has been achieved.

摘要翻译： 一种用于减少用于手写识别器的原型数据库的技术。 原型数据库被分为多个空格，并且识别了删除每个原型的错误率的影响。 所有造成错误率的原型都被删除。 如果需要进一步减少原型数据库，则该技术可识别和删除对所有空间的错误率具有最小不利影响的一个或多个原型。 该技术继续以这种方式去除原型，直到达到所需的原型数据库大小。

公开(公告)号：US20070271087A1

公开(公告)日：2007-11-22

申请号：US11436354

申请日：2006-05-18

申请人： Petr Slavik ,  Patrick M. Haluptzok

发明人： Petr Slavik ,  Patrick M. Haluptzok

IPC分类号： G06F17/27

CPC分类号： G06K9/6814

摘要： Various technologies and techniques are disclosed that improve handwriting recognition accuracy. A set of character classes that are suitable across the various languages to be supported is established. The characters in one or more of the languages to be supported are grouped into the character classes. Probabilities are determined for the character classes. The character classes and the character class probabilities are used in a language-independent language model. The language-independent language model is then used to improve handwriting recognition operations when ambiguous handwriting is input by a user. The recognized characters are displayed to the user after the ambiguity is resolved.

摘要翻译： 公开了提高手写识别精度的各种技术和技术。 建立了适合跨语言支持的一组字符类。 要支持的一种或多种语言中的字符被分组到字符类中。 决定角色类的概率。 字符类和字符类概率用于与语言无关的语言模型。 然后，当用户输入模糊手写时，语言无关语言模型用于改善手写识别操作。 识别的字符在歧义解决后显示给用户。

公开(公告)号：US07899251B2

公开(公告)日：2011-03-01

申请号：US11446872

申请日：2006-06-05

申请人： Petr Slavik

发明人： Petr Slavik

IPC分类号： G06K9/00

CPC分类号： G06K9/00422 ,  G06K9/00872

摘要： Various technologies and techniques are disclosed that improve handwriting recognition operations. A balancing factor is calculated that can be used in recognition mode to compare out-of-dictionary recognition scores with in-dictionary recognition scores. Correct ink samples of words are provided, with some in-dictionary and some out-of-dictionary words. One or more tuning sets are generated from the samples, the tuning set(s) having a percentage of out-of-dictionary words based upon what is expected for a typical user. A handwriting recognizer is run against the tuning set(s) to determine statistics. The statistics are based upon the recognized answer for each word compared to the correct answer. The statistics are used to calculate the balancing factor. During recognition mode, a user inputs handwriting to be recognized. The balancing factor is used to compare and combine an in-dictionary alternate list with an out-of-dictionary alternate list to reach a recognition decision.

摘要翻译： 公开了改进手写识别操作的各种技术和技术。 计算出可以在识别模式中使用的平衡因子，将字典中的识别分数与字典识别分数进行比较。 提供了正确的墨水样本，有一些字典和一些字典外的词。 从样本生成一个或多个调谐组，调谐组基于对典型用户的期望而具有一定百分比的字典外字。 针对调谐组运行手写识别器以确定统计信息。 这些统计数据是基于与正确答案相比较的每个单词的确认答案。 统计用于计算平衡因子。 在识别模式期间，用户输入要识别的笔迹。 平衡因子用于比较和组合字典中的替代列表与字典外替代列表以达成识别决定。

公开(公告)号：US20070280537A1

公开(公告)日：2007-12-06

申请号：US11446872

申请日：2006-06-05

申请人： Petr Slavik

发明人： Petr Slavik

IPC分类号： G06K9/00 ,  G06K9/62

CPC分类号： G06K9/00422 ,  G06K9/00872

摘要： Various technologies and techniques are disclosed that improve handwriting recognition operations. A balancing factor is calculated that can be used in recognition mode to compare out-of-dictionary recognition scores with in-dictionary recognition scores. Correct ink samples of words are provided, with some in-dictionary and some out-of-dictionary words. One or more tuning sets are generated from the samples, the tuning set(s) having a percentage of out-of-dictionary words based upon what is expected for a typical user. A handwriting recognizer is run against the tuning set(s) to determine statistics. The statistics are based upon the recognized answer for each word compared to the correct answer. The statistics are used to calculate the balancing factor. During recognition mode, a user inputs handwriting to be recognized. The balancing factor is used to compare and combine an in-dictionary alternate list with an out-of-dictionary alternate list to reach a recognition decision.

摘要翻译： 公开了改进手写识别操作的各种技术和技术。 计算出可以在识别模式中使用的平衡因子，将字典中的识别分数与字典识别分数进行比较。 提供了正确的墨水样本，有一些字典和一些字典外的词。 从样本生成一个或多个调谐组，调谐组基于对典型用户的期望而具有一定百分比的字典外字。 针对调谐组运行手写识别器以确定统计信息。 这些统计数据是基于与正确答案相比较的每个单词的确认答案。 统计用于计算平衡因子。 在识别模式期间，用户输入要识别的笔迹。 平衡因子用于比较和组合字典中的替代列表与字典外替代列表以达成识别决定。