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    • 1. 发明授权
    • Vehicle license plate recognition method and system thereof
    • 车牌识别方法及其系统
    • US08509486B2
    • 2013-08-13
    • US13281619
    • 2011-10-26
    • Jun-Wei HsiehSin Yu Chen
    • Jun-Wei HsiehSin Yu Chen
    • G06K9/00
    • G06K9/3258G06K2209/15
    • A vehicle license plate recognition method and a system thereof are disclosed. A region where a vehicle license plate image exists is detected according to the edge densities of an input image and a vehicle license plate specification. A text area of the vehicle license plate image is divided into a plurality of character images. The character images are binarized to obtain a plurality of binarized character images. A plurality of characters is recognized from the binarized character images. The characters are recombined to form a character string. The abovementioned steps are repeated to obtain a new character string from another image of the same vehicle, which is captured at a next time point. The character string is compared with the new character string character by character to obtain a comparison result for verifying reliability of recognition through a voting technique.
    • 公开了车牌识别方法及其系统。 根据输入图像和车牌照规格的边缘密度来检测存在车牌图像的区域。 车牌照片图像的文本区域被划分为多个字符图像。 字符图像被二值化以获得多个二进制化的字符图像。 从二值化字符图像识别出多个字符。 重新组合字符以形成一个字符串。 重复上述步骤以从下一个时间点捕获的同一车辆的另一图像获得新的字符串。 将字符串与新的字符串逐字符比较以获得通过投票技术验证识别的可靠性的比较结果。
    • 2. 发明申请
    • VEHICLE LICENSE PLATE RECOGNITION METHOD AND SYSTEM THEREOF
    • 车辆牌照识别方法及其系统
    • US20120106802A1
    • 2012-05-03
    • US13281619
    • 2011-10-26
    • JUN-WEI HSIEHSIN YU CHEN
    • JUN-WEI HSIEHSIN YU CHEN
    • G06K9/00
    • G06K9/3258G06K2209/15
    • A vehicle license plate recognition method and a system thereof are disclosed. A region where a vehicle license plate image exists is detected according to the edge densities of an input image and a vehicle license plate specification. A text area of the vehicle license plate image is divided into a plurality of character images. The character images are binarized to obtain a plurality of binarized character images. A plurality of characters is recognized from the binarized character images. The characters are recombined to form a character string. The abovementioned steps are repeated to obtain a new character string from another image of the same vehicle, which is captured at a next time point. The character string is compared with the new character string character by character to obtain a comparison result for verifying reliability of recognition through a voting technique.
    • 公开了车牌识别方法及其系统。 根据输入图像和车牌照规格的边缘密度来检测存在车牌图像的区域。 车牌照片图像的文本区域被划分为多个字符图像。 字符图像被二值化以获得多个二进制化的字符图像。 从二值化字符图像识别出多个字符。 重新组合字符以形成一个字符串。 重复上述步骤以从下一个时间点捕获的同一车辆的另一图像获得新的字符串。 将字符串与新的字符串逐字符比较以获得通过投票技术验证识别的可靠性的比较结果。
    • 5. 发明授权
    • Biosensor for monitoring an analyte content with a partial voltage generated therefrom
    • 用于由其产生的部分电压来监测分析物含量的生物传感器
    • US07347925B2
    • 2008-03-25
    • US10609617
    • 2003-07-01
    • Jun-Wei Hsieh
    • Jun-Wei Hsieh
    • G01N27/327G01N27/333
    • G01N33/48785
    • A biosensor for monitoring an analyte content with a partial voltage generated therefrom is provided. The present biosensor includes a chip having a resistance Rs, a power source, and a microprocessor. The power source is used for supplying an applied voltage on the chip. The chip generates a time-dependent response current in response to a content of an analyte of a specimen applied thereon upon supplying the applied voltage on the chip. The microprocessor receives a time-dependent partial voltage caused from the chip due to the time-dependent response current, and determines the content of the analyte in accordance with the time-dependent partial voltage. The present biosensor is provided with fewer elements than a conventional one. A purpose of cost down is thus obtained.
    • 提供了一种用于利用其产生的部分电压来监测分析物含量的生物传感器。 本生物传感器包括具有电阻R i的芯片,电源和微处理器。 电源用于在芯片上提供施加的电压。 当芯片上施加的电压提供时,芯片响应于其上施加的样本的分析物的含量而产生时间依赖的响应电流。 微处理器由于时间依赖性响应电流而接收从芯片引起的与时间有关的部分电压,并且根据时间依赖性部分电压确定分析物的含量。 本发明的生物传感器具有比传统传感器更少的元件。 因此获得成本降低的目的。
    • 6. 发明申请
    • Biosensor for monitoring an analyte content with a partial voltage generated therefrom
    • 用于由其产生的部分电压来监测分析物含量的生物传感器
    • US20050000806A1
    • 2005-01-06
    • US10609617
    • 2003-07-01
    • Jun-Wei Hsieh
    • Jun-Wei Hsieh
    • G01N33/487C12M1/00C12N11/00G01N27/26
    • G01N33/48785
    • A biosensor for monitoring an analyte content with a partial voltage generated therefrom is provided. The present biosensor includes a chip having a resistance Rs, a power source, and a microprocessor. The power source is used for supplying an applied voltage on the chip. The chip generates a time-dependent response current in response to a content of an analyte of a specimen applied thereon upon supplying the applied voltage on the chip. The microprocessor receives a time-dependent partial voltage caused from the chip due to the time-dependent response current, and determines the content of the analyte in accordance with the time-dependent partial voltage. The present biosensor is provided with fewer elements than a conventional one. A purpose of cost down is thus obtained.
    • 提供了一种用于利用其产生的部分电压来监测分析物含量的生物传感器。 本生物传感器包括具有电阻Rs,电源和微处理器的芯片。 电源用于在芯片上提供施加的电压。 当芯片上施加的电压提供时,芯片响应于其上施加的样本的分析物的含量而产生时间依赖的响应电流。 微处理器由于时间依赖性响应电流而接收从芯片引起的与时间有关的部分电压,并且根据时间依赖性部分电压确定分析物的含量。 本发明的生物传感器具有比传统传感器更少的元件。 因此获得成本降低的目的。
    • 7. 发明授权
    • Method and apparatus for content-based image retrieval with learning function
    • 用于基于内容的图像检索与学习功能的方法和装置
    • US06606623B1
    • 2003-08-12
    • US09388483
    • 1999-09-02
    • Jun-Wei HsiehCheng-Chin ChiangYea-Shuan Huang
    • Jun-Wei HsiehCheng-Chin ChiangYea-Shuan Huang
    • G06F1730
    • G06K9/00664G06F17/30256G06K9/6256G06K9/6263Y10S707/915Y10S707/99935Y10S707/99945
    • An apparatus and method of content-based image retrieval generate a plurality of training images, including a first part and a second part. Each training image of the first part is labeled as one of a positive bag or a negative bag. The training image is labeled a positive bag if the training image has a desirable character and labeled a negative bag if the training image does not have a desirable character. A set of N1 training images is identified from a set of all training images of the second part, which identified images have a feature most closely matching a first feature instance of a training image labeled as a positive bag. A first value corresponding to the first feature instance is calculated, based on the number of images labeled as positive bags that are identified in the set of N1 training images.
    • 基于内容的图像检索的装置和方法产生包括第一部分和第二部分的多个训练图像。 第一部分的每个训练图像被标记为正袋或负袋之一。 如果训练图像具有期望的角色并且如果训练图像不具有期望的角色,则训练图像被标记为正的袋子,并且标记为负的袋子。 从第二部分的所有训练图像的集合中识别出一组N1训练图像,所识别的图像具有与被标记为正性袋子的训练图像的第一特征实例最匹配的特征。 基于在N1组训练图像集中标识为正袋的图像的数量来计算与第一特征实例相对应的第一值。