diff --git a/img_recognition.py b/img_recognition.py
new file mode 100644
index 0000000..552aabe
--- /dev/null
+++ b/img_recognition.py
@@ -0,0 +1,80 @@
+# -*- coding: utf-8 -*-
+import cv2
+import numpy as np
+from numpy.linalg import norm
+
+SZ = 20  # 训练图片长宽
+MAX_WIDTH = 1000  # 原始图片最大宽度
+Min_Area = 2000  # 车牌区域允许最大面积
+PROVINCE_START = 1000
+# 来自opencv的sample，用于svm训练
+def deskew(img):
+    m = cv2.moments(img)
+    if abs(m['mu02']) < 1e-2:
+        return img.copy()
+    skew = m['mu11'] / m['mu02']
+    M = np.float32([[1, skew, -0.5 * SZ * skew], [0, 1, 0]])
+    img = cv2.warpAffine(img, M, (SZ, SZ), flags=cv2.WARP_INVERSE_MAP | cv2.INTER_LINEAR)
+    return img
+
+
+# 来自opencv的sample，用于svm训练
+def preprocess_hog(digits):
+    samples = []
+    for img in digits:
+        gx = cv2.Sobel(img, cv2.CV_32F, 1, 0)
+        gy = cv2.Sobel(img, cv2.CV_32F, 0, 1)
+        mag, ang = cv2.cartToPolar(gx, gy)
+        bin_n = 16
+        bin = np.int32(bin_n * ang / (2 * np.pi))
+        bin_cells = bin[:10, :10], bin[10:, :10], bin[:10, 10:], bin[10:, 10:]
+        mag_cells = mag[:10, :10], mag[10:, :10], mag[:10, 10:], mag[10:, 10:]
+        hists = [np.bincount(b.ravel(), m.ravel(), bin_n) for b, m in zip(bin_cells, mag_cells)]
+        hist = np.hstack(hists)
+
+        # transform to Hellinger kernel
+        eps = 1e-7
+        hist /= hist.sum() + eps
+        hist = np.sqrt(hist)
+        hist /= norm(hist) + eps
+
+        samples.append(hist)
+    return np.float32(samples)
+
+
+provinces = [
+    "zh_cuan", "川",
+    "zh_e", "鄂",
+    "zh_gan", "赣",
+    "zh_gan1", "甘",
+    "zh_gui", "贵",
+    "zh_gui1", "桂",
+    "zh_hei", "黑",
+    "zh_hu", "沪",
+    "zh_ji", "冀",
+    "zh_jin", "津",
+    "zh_jing", "京",
+    "zh_jl", "吉",
+    "zh_liao", "辽",
+    "zh_lu", "鲁",
+    "zh_meng", "蒙",
+    "zh_min", "闽",
+    "zh_ning", "宁",
+    "zh_qing", "青",
+    "zh_qiong", "琼",
+    "zh_shan", "陕",
+    "zh_su", "苏",
+    "zh_sx", "晋",
+    "zh_wan", "皖",
+    "zh_xiang", "湘",
+    "zh_xin", "新",
+    "zh_yu", "豫",
+    "zh_yu1", "渝",
+    "zh_yue", "粤",
+    "zh_yun", "云",
+    "zh_zang", "藏",
+    "zh_zhe", "浙"
+]
+
+
+