公开(公告)号：US06366696B1

公开(公告)日：2002-04-02

申请号：US08777672

申请日：1996-12-20

申请人： Lois H. Hertz ,  John C. Ming ,  Kevin K. Su

发明人： Lois H. Hertz ,  John C. Ming ,  Kevin K. Su

IPC分类号： G06K900

CPC分类号： G06K9/32 ,  G06K2209/01

摘要： A visual bar code recognition method which combines conventional decoding techniques with optical character recognition (OCR). The visual bar code recognition method captures an image of an object containing a bar code. Regardless of the orientation of the bar code within the field-of-view, the system detects the presence of the bar code, and decodes it using the bar/space patterns. It then produces an independent decoding of the human-readable numbers printed on the bar code using OCR. From these two decodings, it determines the identity of the object. It verifies this identity by comparing the physical characteristics of the object from the image with the known features of the product.

摘要翻译： 一种将常规解码技术与光学字符识别（OCR）相结合的视觉条形码识别方法。 视觉条形码识别方法捕获包含条形码的对象的图像。 不管条形码在视场内的方向如何，系统检测条形码的存在，并使用条形/空格模式进行解码。 然后使用OCR产生打印在条形码上的人可读数字的独立解码。 从这两个解码中，它确定对象的身份。 它通过将来自图像的对象的物理特性与产品的已知特征进行比较来验证该身份。

公开(公告)号：US5969317A

公开(公告)日：1999-10-19

申请号：US748440

申请日：1996-11-13

申请人： Calvin L. Espy ,  Jianzhong Huang ,  John C. Ming ,  Antai Peng ,  Barry D. Briggs

发明人： Calvin L. Espy ,  Jianzhong Huang ,  John C. Ming ,  Antai Peng ,  Barry D. Briggs

IPC分类号： G06F19/00 ,  G06Q20/20 ,  G06T1/00 ,  G06T3/40 ,  G07F7/00 ,  G07G1/00 ,  G06K9/46

CPC分类号： G07G1/0054 ,  G06K9/00 ,  G06Q20/201 ,  G06Q20/208 ,  G07F7/00

摘要： An item recognition system and method which is particularly suited for automating entry of items too small to carry readable bar code labels. The system includes a camera which digitizes the image to produce a digitized image and a gray-scale digitized image. A binary image of the gray-scale image is then produced from which the computer records an image of the item, and a computer coupled to the camera which digitizes the image to produce a digitized image and a gray-scale digitized image. A binary image of the gray-scale image is then produced from which the computer identifies the item from the binary image and obtains the price from a price-lookup file.

摘要翻译： 一种特别适用于自动进入太小的物品以携带可读条形码标签的物品识别系统和方法。 该系统包括将图像数字化以产生数字化图像和灰度数字化图像的相机。 然后生成灰度图像的二进制图像，计算机从该图像记录物品的图像，以及耦合到照相机的计算机，数字化图像以产生数字化图像和灰度数字化图像。 然后产生灰度图像的二进制图像，计算机从该图像识别来自二进制图像的项目并从价格查找文件获得价格。

公开(公告)号：US5048095A

公开(公告)日：1991-09-10

申请号：US502603

申请日：1990-03-30

申请人： Bir Bhanu ,  Sungkee Lee ,  John C. Ming

发明人： Bir Bhanu ,  Sungkee Lee ,  John C. Ming

IPC分类号： G06T5/00

CPC分类号： G06K9/34 ,  G06K9/6262 ,  G06T7/0081 ,  G06T7/0087 ,  G06T2207/10016 ,  G06T2207/10152

摘要： An adaptive segmentation system that utilizes a genetic algorithm in image segmentation. The system incorporates a closed-loop feedback mechanism in the segmentation/learning cycle. The system can adapt to changes appearing in the images being segmented, caused by variations of such factors as time and weather. Adaptation is achieved with a measure based on differences of analyzed past imagery and current imagery and on the criteria for segmentation quality. The invention is not dependent on any particular segmentation algorithm or specific sensor type.

摘要翻译： 一种利用遗传算法进行图像分割的自适应分割系统。 该系统在分段/学习周期中包含闭环反馈机制。 该系统可以适应由于时间和天气等因素的变化而导致的图像中出现的变化。 通过基于分析的过去图像和当前图像的差异以及分割质量标准的度量来实现适应。 本发明不依赖于任何特定的分割算法或特定的传感器类型。