人工智能Java SDK - OCR文字识别工具箱（支持文字识别，版面分析，表格识别）
Calvin
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2022-02-09 17:41
目录：AIAS - AI加速器
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工具箱功能:
- 方向检测，支持4个文字方向：0度、90度、180度、270度。
2. 图片旋转
3. 文字识别，提供三个模型：mobile模型，light模型，服务器端大模型。
4. 版面分析（支持5个类别, 用于配合文字识别，表格识别的流水线处理）
Text，Title，List，Table，Figure
5. 表格识别
- 生成html表格
- 生成excel文件
运行OCR识别例子
1.1 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：
1.2 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：
2. 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
3. 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 ] - [
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]
]- 输出图片效果如下：
4. 版面分析：
- 运行成功后，命令行应该看到下面的信息:
[INFO ] - [
class: "Text", probability: 0.98750, bounds: [x=0.081, y=0.620, width=0.388, height=0.183]
class: "Text", probability: 0.98698, bounds: [x=0.503, y=0.464, width=0.388, height=0.167]
class: "Text", probability: 0.98333, bounds: [x=0.081, y=0.465, width=0.387, height=0.121]
class: "Figure", probability: 0.97186, bounds: [x=0.074, y=0.091, width=0.815, height=0.304]
class: "Table", probability: 0.96995, bounds: [x=0.506, y=0.712, width=0.382, height=0.143]
]- 输出图片效果如下：
5. 表格识别：
- 运行成功后，命令行应该看到下面的信息:
Methods
R
P
F
FPS
SegLink[26]
70.0
86.0
770
89
PixelLink[4j
73.2
83.0
77.8
...
- 输出图片效果如下：
- 生成excel效果如下：
Github & Gitee 代码地址:
https://github.com/mymagicpower/AIAS/tree/main/1_image_sdks/text_recognition/ocr_sdkhttps://gitee.com/mymagicpower/AIAS/tree/main/1_image_sdks/text_recognition/ocr_sdkAIAS介绍：
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