From 037dd3c90684e511ba6bcedeea1cfa63c3cd691b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=9C=B1=E6=9C=AC=E7=A6=8F?=
 <37825535+zhubenfu@users.noreply.github.com>
Date: Fri, 20 Jul 2018 16:01:38 +0800
Subject: [PATCH] Update README.md

---
 README.md | 7 +++++++
 1 file changed, 7 insertions(+)

diff --git a/README.md b/README.md
index 7ac89b5..5ac8907 100644
--- a/README.md
+++ b/README.md
@@ -7,10 +7,17 @@ works in real-time with detection and recognition accuracy up to 99.8% for Chine
 
 整个大车牌检测基于haar+cascade的检测或者mtcnn的检测，
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+[车牌识别技术详解六--基于Adaboost+haar训练的车牌检测](https://blog.csdn.net/zhubenfulovepoem/article/details/42474239  "悬停显示")
+
+
 
 单个车牌字符分割是基于haar+cascade加上逻辑筛选，
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+https://blog.csdn.net/zhubenfulovepoem/article/details/12344639 车牌识别技术详解三--字符检测的正负样本得取（利用鼠标画框抠图）
+https://blog.csdn.net/zhubenfulovepoem/article/details/12345539 车牌识别技术详解四--二值化找轮廓做分割得样本（车牌分割，验证码分割）
+
+
 识别支持全图识别和单个字符分割识别：全图识别是基于lstm+ctc。
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-- 
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