hr-ocr-idcard/core/parser.py

import re
import string
import math
from dataclasses import dataclass
from collections import defaultdict
import numpy as np
import cpca
from typing import List

from core.line_parser import OcrResult


@dataclass
class RecItem:
    text: str = ''
    confidence: float = 0.

    def to_dict(self):
        return {"text": self.text, "confidence": np.nan_to_num(self.confidence)}


class Parser(object):
    def __init__(self, ocr_results: List[List[OcrResult]]):
        self.result = ocr_results
        self.res = defaultdict(RecItem)
        self.keys = ["name", "id", "ethnicity", "gender", "birthday",
                     "address", "address_province", "address_city", "address_region", "address_detail", "expire_date"]
        for key in self.keys:
            self.res[key] = RecItem()

    def parse(self):
        return self.res


class FrontParser(Parser):
    """
    出生年月日
    """

    def __init__(self, ocr_results: List[List[OcrResult]]):
        Parser.__init__(self, ocr_results)

    def birth(self):
        if len(self.res["id"].text) == 18:
            # 342423 2001  0  2    1  5    6552
            # 012345 6789  10 11   12 13   14
            str_num = self.res["id"].text
            date = str_num[6:10] + "年" + str_num[10:12] + "月" + str_num[12:14] + "日"
            self.res["birthday"] = RecItem(date, self.res['id'].confidence)

    def card_no(self):
        """
        身份证号码
        """
        for idx, row in enumerate(self.result):
            for r in row:
                txt = r.txt

                # 身份证号码
                if "X" in txt or "x" in txt:
                    res = re.findall("\d*[X|x]", txt)
                else:
                    res = re.findall("\d{16,18}", txt)

                if len(res) > 0:
                    if len(res[0]) == 18:
                        self.res["id"].text = res[0]
                        self.res["id"].confidence = r.conf
                        self.res["gender"].text = "男" if int(res[0][16]) % 2 else "女"
                        self.res["gender"].confidence = r.conf
                        if idx < 2:
                            self.result = self.result[idx + 1:]
                            self.result.reverse()
                        else:
                            self.result = self.result[:idx]
                    return
        raise Exception('无法识别')

    def name(self):
        """
        姓名
        """
        name_val = None
        conf = 0.
        for i in range(len(self.result)):
            res = self.result[i]
            for j in range(len(self.result[i])):
                txt = self.result[i][j].txt
                conf = self.result[i][j].conf
                mini_dis = [99999., 0]

                is_name = '姓' in txt or '名' in txt
                if is_name and len(res) > 1:
                    for k in range(len(self.result[i])):
                        if k == j: continue
                        p = np.array(res[j].ct) - np.array(res[k].ct)
                        min = math.hypot(p[0], p[1])
                        if min < mini_dis[0]:
                            mini_dis = [min, k]
                            conf = self.result[i][k].conf
                            name_val = self.result[i][mini_dis[1]].txt
                elif is_name and len(txt) > 3:
                    conf = self.result[i][mini_dis[1]].conf
                    name_val = txt.split("姓名")[-1]

        if name_val is None:
            raise Exception('无法识别')
        if len(name_val) < 5:
            self.res["name"] = RecItem(name_val, conf)
        else:
            point_unicode = ["\u2E31", "\u2218", "\u2219", "\u22C5", "\u25E6", "\u2981",
                             "\u00B7", "\u0387", "\u05BC", "\u16EB", "\u2022", "\u2027",
                             "\u2E30", "\uFF0E", "\u30FB", "\uFF65", "\u10101"]
            for n in range(len(point_unicode)):
                point = re.findall(point_unicode[n], name_val)
                if len(point) != 0:
                    name_list = name_val.split(point[0])
                    self.res['name'] = RecItem(name_list[0] + '\u00B7' + name_list[1], conf)
                    return

    def national(self):
        """
        性别 <-- id
        民族汉
        """
        for i in range(len(self.result)):
            res = self.result[i]
            for j in range(len(self.result[i])):
                txt = self.result[i][j].txt
                conf = self.result[i][j].conf
                mini_dis = [99999., 0]

                # 分框
                if '族' in txt and len(txt) < 3:
                    for k in range(len(self.result[i])):
                        if k == j: continue
                        p = np.array(res[j].ct) - np.array(res[k].ct)
                        min = math.hypot(p[0], p[1])
                        if min < mini_dis[0]:
                            mini_dis = [min, k]
                    self.res["ethnicity"] = RecItem(self.result[i][mini_dis[1]].txt, conf)
                    return

                # 合框
                elif '族' in txt:
                    self.res["ethnicity"] = RecItem(txt.split("族")[-1], conf)
                    return

        # for nation in self.result[1]:
        #     txt = nation.txt
        #     conf = nation.conf
        #     res = re.findall(".*族[\u4e00-\u9fa5]+", txt)
        #
        #     if len(res) > 0:
        #         self.res["ethnicity"] = RecItem(res[0].split("族")[-1], conf)
        #         return

    def address(self):
        """
        身份证地址
        """
        res = []
        confs = []

        for row in self.result[3:]:
            for r in row:
                txt = r.txt

                if (
                        "住址" in txt
                        or "址" in txt
                        or "省" in txt
                        or "市" in txt
                        or "县" in txt
                        or "街" in txt
                        or "乡" in txt
                        or "村" in txt
                        or "镇" in txt
                        or "区" in txt
                        or "城" in txt
                        or "组" in txt
                        or "旗" in txt
                        or "号" in txt
                        or "户" in txt
                ):
                    # if "住址" in txt or "省" in txt or "址" in txt:
                    if "住址" in txt or "址" in txt:
                        res.append(txt.split("址")[-1])
                    else:
                        res.append(txt)
                    confs.append(r.conf)

        if len(res) > 0:
            self.res["address"] = RecItem("".join(res), np.mean(confs))
            self.split_addr()
            return
        raise Exception('无法识别')

    def split_addr(self):

        print(self.res['address'].text, '=======')
        conf = self.res["address"].confidence
        df = cpca.transform([self.res["address"].text])
        # print(df)

        province = df.iloc[0, 0]
        city = df.iloc[0, 1]
        region = df.iloc[0, 2]
        detail = df.iloc[0, 3]
        print(f'pronvince: {province}, city: {city}, region: {region}, detail: {detail}')
        self.res["address_province"] = RecItem(province, conf)
        self.res["address_city"] = RecItem(city, conf)
        if detail and "旗" in detail:
            temp_region = []
            temp_region.insert(0, detail.split("旗")[0] + "旗")
            self.res["address_region"] = RecItem(temp_region[0], conf)
            self.res["address_detail"] = RecItem(detail.split("旗")[-1], conf)
        # elif detail and "旗" in detail:

        else:
            self.res["address_region"] = RecItem(region, conf)
            self.res["address_detail"] = RecItem(detail, conf)
        if not self.res['address_region'].text or not self.res['address_detail'].text:
            raise Exception('无法识别')

    def parse(self):
        self.card_no()
        self.name()
        self.national()
        self.birth()
        self.address()
        return {key: self.res[key].to_dict() for key in self.keys}


class BackParser(Parser):
    def __init__(self, ocr_results: List[OcrResult]):
        Parser.__init__(self, ocr_results)

    def expire_date(self):
        for row in self.result:
            for r in row:
                txt = r.txt
                txt = txt.replace('.', '')
                res = re.findall('\d{8}\-\d{8}', txt)
                if res:
                    self.res["expire_date"] = RecItem(res[0], r.conf)
                    return
                res = re.findall('\d{8}\-长期', txt)
                if res:
                    self.res["expire_date"] = RecItem(res[0], r.conf)
                    return
        raise Exception('无法识别')

    def parse(self):
        self.expire_date()
        if not self.res["expire_date"].text:
            raise Exception("无法识别")
        return {key: self.res[key].to_dict() for key in self.keys}