do_ocr_multi_class_knnT_do_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn (算子)

名称

do_ocr_multi_class_knnT_do_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn — 使用 k-NN 分类器对多个字符进行分类。

签名

do_ocr_multi_class_knn(Character, Image : : OCRHandle : Class, Confidence)

描述

do_ocr_multi_class_knndo_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn computes the best class for each of the characters given by the regions CharacterCharacterCharacterCharactercharactercharacter and the gray values ImageImageImageImageimageimage with the k-NN classifier OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle and returns the classes in ClassClassClassClassclassValclass and the corresponding confidence of the classes in ConfidenceConfidenceConfidenceConfidenceconfidenceconfidence. The confidences lie between 0.0 and 1.0. The larger the value, the more reliable is the classification of the single characters. In contrast to do_ocr_single_class_knndo_ocr_single_class_knnDoOcrSingleClassKnnDoOcrSingleClassKnnDoOcrSingleClassKnndo_ocr_single_class_knn, do_ocr_multi_class_knndo_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn can classify multiple characters in one call, and therefore typically is faster than a loop that uses do_ocr_single_class_knndo_ocr_single_class_knnDoOcrSingleClassKnnDoOcrSingleClassKnnDoOcrSingleClassKnndo_ocr_single_class_knn to classify single characters. However, do_ocr_multi_class_knndo_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn can only return the best class of each character.

Before calling do_ocr_multi_class_knndo_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn, the classifier must be trained with trainf_ocr_class_knntrainf_ocr_class_knnTrainfOcrClassKnnTrainfOcrClassKnnTrainfOcrClassKnntrainf_ocr_class_knn。

执行信息

多线程类型：可重入（与非独占算子并行运行）。
多线程作用域：全局（可从任何线程调用）。
在元组级别上自动并行化。

参数

CharacterCharacterCharacterCharactercharactercharacter (输入对象) region(-array) → object

Characters to be recognized.

ImageImageImageImageimageimage (输入对象) singlechannelimage → object (byte / uint2)

字符的灰度值。

OCRHandleOCRHandleOCRHandleOCRHandleOCRHandleocrhandle (输入控制) ocr_knn → (handle)

k-NN 分类器的句柄。

ClassClassClassClassclassValclass (输出控制) string(-array) → (string)

Result of classifying the characters with the k-NN.

元素数量： Class == Character

ConfidenceConfidenceConfidenceConfidenceconfidenceconfidence (输出控制) real(-array) → (real)

Confidence of the class of the characters.

元素数量： Confidence == Character

结果

如果参数有效，算子 do_ocr_multi_class_knndo_ocr_multi_class_knnDoOcrMultiClassKnnDoOcrMultiClassKnnDoOcrMultiClassKnndo_ocr_multi_class_knn 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。

可能的前趋

trainf_ocr_class_knntrainf_ocr_class_knnTrainfOcrClassKnnTrainfOcrClassKnnTrainfOcrClassKnntrainf_ocr_class_knn, read_ocr_class_knnread_ocr_class_knnReadOcrClassKnnReadOcrClassKnnReadOcrClassKnnread_ocr_class_knn

替代

do_ocr_single_class_knndo_ocr_single_class_knnDoOcrSingleClassKnnDoOcrSingleClassKnnDoOcrSingleClassKnndo_ocr_single_class_knn

另见

create_ocr_class_knncreate_ocr_class_knnCreateOcrClassKnnCreateOcrClassKnnCreateOcrClassKnncreate_ocr_class_knn, classify_class_knnclassify_class_knnClassifyClassKnnClassifyClassKnnClassifyClassKnnclassify_class_knn

模块

光学字符识别/光学字符验证

算子