Halcon字符識別專題

先開個篇，後期逐步加入

1、注重識別準確率的，用cnn。

對應案例及關鍵代碼

do_ocr_word_cnn (CharRegion, CharImage, OCRHandleCNN, '[a-z.]', 3, 2, ClassRead, Confidence, ClassCorrectedReadCNN, Score)

do_ocr_single_class_cnn (ObjectSelected, ImageInvert, OCRHandle, 1, Class, Confidence)

*創建候選字符
create_lexicon ('label', ['BEST','BEFORE','END'], LexiconHandle)
*識別結果會從候選字符中選取最相似的作爲結果
do_ocr_word_cnn (Word, ImageOCR, OCRHandle, '<label>', 1, 5, Class, Confidence, WordText, WordScore)

do_ocr_word_cnn (SortedDate, ImageOCR, OCRHandle, '^([0-2][0-9]|30|31)/(0[1-9]|10|11|12)/0[0-5]$', 10, 5, Class, Confidence, DateText, DateScore)