diff --git a/deploy/cpp_infer/CMakeLists.txt b/deploy/cpp_infer/CMakeLists.txt
index 282b245d7e327fcd86c736c8f64abe8e8f8ab6ea..8f06068c54b9b3edf692a38d5b9d1a5c96518f5b 100644
--- a/deploy/cpp_infer/CMakeLists.txt
+++ b/deploy/cpp_infer/CMakeLists.txt
@@ -27,11 +27,8 @@ if(NOT DEFINED DEMO_NAME)
   message(FATAL_ERROR "please set DEMO_NAME with -DDEMO_NAME=demo_name")
 endif()
 
-# user ze
-# find_package(OpenCV)
-
 
-set(OPENCV_DIR "/paddle/libs/opencv-3.4.7/opencv3")
+set(OPENCV_DIR ${OPENCV_DIR})
 find_package(OpenCV REQUIRED PATHS ${OPENCV_DIR}/share/OpenCV NO_DEFAULT_PATH)
 include_directories(${OpenCV_INCLUDE_DIRS})
 
diff --git a/deploy/cpp_infer/readme.md b/deploy/cpp_infer/readme.md
new file mode 100644
index 0000000000000000000000000000000000000000..23612bcf27915cc895fe3d360af9c6dda2bb9c07
--- /dev/null
+++ b/deploy/cpp_infer/readme.md
@@ -0,0 +1,149 @@
+# 服务器端C++预测
+
+本教程将介绍在服务器端部署PaddleOCR超轻量中文检测、识别模型的详细步骤。
+
+
+## 1. 准备环境
+
+### 运行准备
+- Linux环境，推荐使用docker。
+
+### 1.1 编译opencv库
+
+* 首先需要从opencv官网上下载在Linux环境下源码编译的包，以opencv3.4.7为例，下载命令如下。
+
+```
+wget https://github.com/opencv/opencv/archive/3.4.7.tar.gz
+tar -xf 3.4.7.tar.gz
+```
+
+最终可以在当前目录下看到`opencv-3.4.7/`的文件夹。
+
+* 编译opencv，设置opencv源码路径(`root_path`)以及安装路径(`install_path`)。进入opencv源码路径下，按照下面的方式进行编译。
+
+```shell
+root_path=/paddle/libs/opencv-3.4.7
+install_path=${root_path}/opencv3
+
+rm -rf build
+mkdir build
+cd build
+
+cmake .. \
+    -DCMAKE_INSTALL_PREFIX=${install_path} \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DBUILD_SHARED_LIBS=OFF \
+    -DWITH_IPP=OFF \
+    -DBUILD_IPP_IW=OFF \
+    -DWITH_LAPACK=OFF \
+    -DWITH_EIGEN=OFF \
+    -DCMAKE_INSTALL_LIBDIR=lib64 \
+    -DWITH_ZLIB=ON \
+    -DBUILD_ZLIB=ON \
+    -DWITH_JPEG=ON \
+    -DBUILD_JPEG=ON \
+    -DWITH_PNG=ON \
+    -DBUILD_PNG=ON \
+    -DWITH_TIFF=ON \
+    -DBUILD_TIFF=ON
+
+make -j
+make install
+```
+
+最终在安装路径下的文件结构如下所示。
+
+```
+opencv3/
+|-- bin
+|-- include
+|-- lib
+|-- lib64
+|-- share
+```
+
+### 1.2 编译Paddle预测库
+
+* 可以参考[Paddle预测库官网](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html)的说明，从github上获取Paddle代码，然后进行编译，生成最新的预测库。使用git获取代码方法如下。
+
+```shell
+git clone https://github.com/PaddlePaddle/Paddle.git
+```
+
+* 进入Paddle目录后，编译方法如下。
+
+```shell
+rm -rf build
+mkdir build
+cd build
+
+cmake  .. \
+    -DWITH_CONTRIB=OFF \
+    -DWITH_MKL=ON \
+    -DWITH_MKLDNN=OFF  \
+    -DWITH_TESTING=OFF \
+    -DCMAKE_BUILD_TYPE=Release \
+    -DWITH_INFERENCE_API_TEST=OFF \
+    -DON_INFER=ON \
+    -DWITH_PYTHON=ON
+make -j16
+make inference_lib_dist
+```
+
+更多编译参数选项可以参考Paddle C++预测库官网：[https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html](https://www.paddlepaddle.org.cn/documentation/docs/zh/advanced_guide/inference_deployment/inference/build_and_install_lib_cn.html)。
+
+
+* 编译完成之后，可以在`build/fluid_inference_install_dir/`文件下看到生成了以下文件及文件夹。
+
+```
+build/fluid_inference_install_dir/
+|-- CMakeCache.txt
+|-- paddle
+|-- third_party
+|-- version.txt
+```
+
+其中`paddle`就是之后进行C++预测时所需的Paddle库，`version.txt`中包含当前预测库的版本信息。
+
+
+## 2 开始运行
+
+### 2.1 将模型导出为inference model
+
+* 可以参考[模型预测章节](../../doc/doc_ch/inference.md)，导出inference model，用于模型预测。模型导出之后，假设放在`inference`目录下，则目录结构如下。
+
+```
+inference/
+|-- det_db
+|   |--model
+|   |--params
+|-- rec_rcnn
+|   |--model
+|   |--params
+```
+
+
+### 2.2 编译PaddleOCR C++预测demo
+
+* 编译命令如下，其中Paddle C++预测库、opencv等其他依赖库的地址需要换成自己机器上的实际地址。
+
+
+```shell
+sh tools/build.sh
+```
+
+* 编译完成之后，会在`build`文件夹下生成一个名为`ocr_system`的可执行文件。
+
+
+### 运行demo
+* 执行以下命令，完成对一幅图像的OCR识别与检测，最终输出
+
+```shell
+sh tools/run.sh
+```
+
+最终屏幕上会输出检测结果如下。
+
+<div align="center">
+    <img src="../imgs/cpp_infer_pred_12.png" width="600">
+</div>
diff --git a/deploy/cpp_infer/tools/build.sh b/deploy/cpp_infer/tools/build.sh
index a3a709ca2d5eab3e7ae20182c55f9d709dd8436f..8eea3b85f71b4fbadbc472b56954f25d25d5735b 100755
--- a/deploy/cpp_infer/tools/build.sh
+++ b/deploy/cpp_infer/tools/build.sh
@@ -1,4 +1,5 @@
 
+OPENCV_DIR=/paddle/libs/opencv-3.4.7/opencv3
 LIB_DIR=/paddle/code/gry/Paddle/build/fluid_inference_install_dir/
 CUDA_LIB_DIR=/usr/local/cuda/lib64
 CUDNN_LIB_DIR=/usr/lib/x86_64-linux-gnu/
@@ -15,6 +16,7 @@ cmake .. \
     -DWITH_GPU=OFF \
     -DWITH_STATIC_LIB=OFF \
     -DUSE_TENSORRT=OFF \
+    -DOPENCV_DIR=${OPENCV_DIR} \
     -DCUDNN_LIB=${CUDNN_LIB_DIR} \
     -DCUDA_LIB=${CUDA_LIB_DIR} \
     -DTENSORRT_ROOT=YOUR_TENSORRT_ROOT_DIR
diff --git a/deploy/cpp_infer/tools/run.sh b/deploy/cpp_infer/tools/run.sh
index 1989d5eafe2f08be9be41ab27c0163597357f5a7..dd2441c1a2231e60614a863b49632e246bcd9153 100755
--- a/deploy/cpp_infer/tools/run.sh
+++ b/deploy/cpp_infer/tools/run.sh
@@ -1,2 +1,2 @@
 
-./build/ocr_system ./inference/det_db/ ./inference/rec_crnn/ ../../doc/imgs/11.jpg
+./build/ocr_system ./inference/det_db/ ./inference/rec_crnn/ ../../doc/imgs/12.jpg
diff --git a/deploy/imgs/cpp_infer_pred_12.png b/deploy/imgs/cpp_infer_pred_12.png
new file mode 100644
index 0000000000000000000000000000000000000000..0ed85a31a0c64f50c165eeb887ceebd52894d785
Binary files /dev/null and b/deploy/imgs/cpp_infer_pred_12.png differ