翻译!求救!!线上等!!
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发布时间：2022-04-27 11:44
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热心网友
时间：2023-09-16 00:45
Along with society's development, the character uses as a result of its succinct convenience is getting more and more widespread, like the IC chip, the ID card, the license plate, the letter, the bank check on and so on have the important character information, these characters by the big small letter English and the alphanumeric character primarily, have become the pattern recognition to these character's automatic diagnosis an important content. The IC chip surface character mainly includes the manufacturer name and the series number, automatic fast distinguishes these characters accurately has the important meaning regarding the IC chip manufacture and the application. At present, the character recognition mainly has manual methods and so on range estimate, template matching and neural network, the man-power measures with the eye the method, because human factor's influence easy to occur measures and Yi Shiren by mistake is weary, the template matching request character is quite complete, the fault-tolerant pan-ability is not strong. The artificial neural networks pattern recognition method is the new method which the recent years proposed, it has good fault-tolerant merits and so on ability, classified ability, parallel processing ability and from learning capability.
This article will analyze mainly the chip surface character digital image processing, to chip character's processing including character gathering, 256 levels of gradations, the filter, the binaryzation, is separated the noise, the chip character zone localization, the tilting adjustment, the character division, the normalization, the rearrangement and so on. Has studied the chip 256 levels of gradations with emphasis, the binaryzation, the zone location, the normalization and the rearrangement and so on. Through to chip surface character's digital image processing, we may obtain a very sharp image, this picture will have made the very good upholstery to the chip recognition.
