文字识别（OCR）

文字识别（OCR）目前在多个行业中得到了广泛应用，比如金融行业的单据识别输入，餐饮行业中的发票识别，交通领域的车票识别，企业中各种表单识别，以及日常工作生活中常用的身份证，驾驶证，护照识别等等。 OCR（文字识别）是目前常用的一种AI能力。

OCR识别SDK功能

方向检测

0度
90度
180度
270度

图片旋转
文字识别

运行OCR识别例子

1. 文字方向检测：

例子代码: OcrDetectionExample.java
运行成功后，命令行应该看到下面的信息:

[INFO ] - Result image has been saved in: build/output/detect_result.png
[INFO ] - [
	class: "0", probability: 1.00000, bounds: [x=0.073, y=0.069, width=0.275, height=0.026]
	class: "0", probability: 1.00000, bounds: [x=0.652, y=0.158, width=0.222, height=0.040]
	class: "0", probability: 1.00000, bounds: [x=0.143, y=0.252, width=0.144, height=0.026]
	class: "0", probability: 1.00000, bounds: [x=0.628, y=0.328, width=0.168, height=0.026]
	class: "0", probability: 1.00000, bounds: [x=0.064, y=0.330, width=0.450, height=0.023]
]

输出图片效果如下：

2. 文字方向检测帮助类（增加置信度信息显示，便于调试）：

例子代码: OcrDetectionHelperExample.java
运行成功后，命令行应该看到下面的信息:

[INFO ] - Result image has been saved in: build/output/detect_result_helper.png
[INFO ] - [
	class: "0 :1.0", probability: 1.00000, bounds: [x=0.073, y=0.069, width=0.275, height=0.026]
	class: "0 :1.0", probability: 1.00000, bounds: [x=0.652, y=0.158, width=0.222, height=0.040]
	class: "0 :1.0", probability: 1.00000, bounds: [x=0.143, y=0.252, width=0.144, height=0.026]
	class: "0 :1.0", probability: 1.00000, bounds: [x=0.628, y=0.328, width=0.168, height=0.026]
	class: "0 :1.0", probability: 1.00000, bounds: [x=0.064, y=0.330, width=0.450, height=0.023]
]

输出图片效果如下：

3. 图片旋转：

每调用一次rotateImg方法，会使图片逆时针旋转90度。

例子代码: RotationExample.java

旋转前图片	旋转后图片

2. 文字识别：

再使用本方法前，请调用上述方法使图片文字呈水平0度方向。

例子代码: LightOcrRecognitionExample.java
运行成功后，命令行应该看到下面的信息:

[INFO ] - Result image has been saved in: build/output/ocr_result.png
[INFO ] - [
	class: "你", probability: -1.0e+00, bounds: [x=0.319, y=0.164, width=0.050, height=0.057]
	class: "永远都", probability: -1.0e+00, bounds: [x=0.329, y=0.349, width=0.206, height=0.044]
	class: "无法叫醒一个", probability: -1.0e+00, bounds: [x=0.328, y=0.526, width=0.461, height=0.044]
	class: "装睡的人", probability: -1.0e+00, bounds: [x=0.330, y=0.708, width=0.294, height=0.043]
]