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Syntactic pattern recognizer for vehicle identification numbers

机译:车辆识别码的句法模式识别器

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摘要

Road pricing is certain to be introduced in most cities by the year 2000. Most systems require vehicles to carry a transducer which identifies it. If this fails, the only way of identifying the vehicle is by reading the vehicle identification numbers (VIN). A recognition system is described which thins the characters using conventional algorithms to produce 8-connected skeletons and uses a new pattern grammar to describe these characters in terms of simple string. The same string represents a character irrespective of its position, size or orientation. The characters used to test the performance of the algorithm were extracted from a wide variety of images Of vehicles. They are not idealized representations. The origin of these characters means that they are very varied in their size, orientation and completeness. No normalisation of characters is required prior to determining their representation in the pattern grammar described..
机译:到2000年,肯定会在大多数城市引入道路收费标准。大多数系统都要求车辆携带识别它的传感器。如果失败,识别车辆的唯一方法是读取车辆识别号(VIN)。描述了一种识别系统,该系统使用常规算法来稀疏字符以产生8个连接的骨架,并使用新的模式语法以简单字符串的形式描述这些字符。相同的字符串代表一个字符,无论其位置,大小或方向如何。从各种车辆图像中提取了用于测试算法性能的字符。它们不是理想化的表示。这些字符的来历意味着它们的大小,方向和完整性非常不同。在确定所描述的模式语法中的字符表示之前,不需要对它们进行标准化。

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