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摘要:
近幾天在做一個(gè)東西,其中需要對(duì)圖像中的文字進(jìn)行識(shí)別,看了前輩們的文章,找到兩個(gè)較簡(jiǎn)單的方法:使用python的pytesseract庫(kù)和調(diào)用百度AI平臺(tái)接口。寫(xiě)下這篇文章做一個(gè)比較簡(jiǎn)短的記錄和學(xué)習(xí),后期如果有新內(nèi)容再行補(bǔ)充。
1、使用python的pytesseract庫(kù)
主要是安裝庫(kù),比較簡(jiǎn)單,直接使用 pip install 安裝即可;另外,如果進(jìn)行中文識(shí)別,需要下載語(yǔ)言包,并配置好相應(yīng)環(huán)境,具體操作可以進(jìn)行百度,教程有不少。因?yàn)檫@個(gè)識(shí)別方法比較簡(jiǎn)單(但效果并不是很理想),下面直接貼出測(cè)試代碼:
import pytesseract from PIL import Image img = Image.open('./testImages/test01.jpg') pytesseract.pytesseract.tesseract_cmd = 'C:/Program Files (x86)/Tesseract-OCR/tesseract.exe' s = pytesseract.image_to_string(img, lang='chi_sim') #不加lang參數(shù)的話(huà),默認(rèn)進(jìn)行英文識(shí)別 print(s)
2、調(diào)用百度AI平臺(tái)接口(有調(diào)用次數(shù)限制,通用50000次/天,學(xué)習(xí)完全夠用)
這個(gè)類(lèi)似于調(diào)用接口實(shí)現(xiàn)詞法分析等操作,首先通過(guò)注冊(cè)獲得APP_ID、API_KEY、SECRET_KEY,然后調(diào)用接口實(shí)現(xiàn)OCR。由于是在線(xiàn)API,如果圖片體積比較大,涉及到上傳數(shù)據(jù)、分析數(shù)據(jù)、返回?cái)?shù)據(jù)等一系列操作,需要一定的時(shí)間。此外,因?yàn)榉祷氐氖?nbsp;dict 類(lèi)型數(shù)據(jù),所以需要對(duì)結(jié)果進(jìn)行處理(這套算法是按行識(shí)別文字的,準(zhǔn)確率較高,基本可以直接將結(jié)果進(jìn)行提取和拼接)。實(shí)現(xiàn)起來(lái)比較簡(jiǎn)單,下面直接貼出代碼:
from aip import AipOcr APP_ID = '00000000' API_KEY = '00000000000000000000' SECRET_KEY = '00000000000000000000' client = AipOcr(APP_ID, API_KEY, SECRET_KEY) def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() def image2text(fileName): image = get_file_content(fileName) dic_result = client.basicGeneral(image) res = dic_result['words_result'] result = '' for m in res: result = result + str(m['words']) return result getresult = image2text('./test01.jpg') print(getresult)
小結(jié):
主要是初次接觸OCR這個(gè)領(lǐng)域所做的一些筆記,后續(xù)再深入進(jìn)行學(xué)習(xí)。
python實(shí)現(xiàn)的ocr接口
import pytesseract import requests from PIL import Image from PIL import ImageFilter from StringIO import StringIO from werkzeug.utils import secure_filename from gevent import monkey from gevent.pywsgi import WSGIServer monkey.patch_all() from flask import Flask,render_template,jsonify,request,send_from_directory import time import os import base64 import random app = Flask(__name__) UPLOAD_FOLDER='upload' app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER basedir = os.path.abspath(os.path.dirname(__file__)) ALLOWED_EXTENSIONS = set(['png','jpg','JPG','PNG']) def allowed_file(filename): return '.' in filename and filename.rsplit('.',1)[1] in ALLOWED_EXTENSIONS @app.route('/',methods=['GET'],strict_slashes=False) def indexpage(): return render_template('index.html') @app.route('/',methods=['POST'],strict_slashes=False) def api_upload(): log = open("error.log","w+") file_dir = os.path.join(basedir, app.config['UPLOAD_FOLDER']) if not os.path.exists(file_dir): os.makedirs(file_dir) print request.headers print >> log, request.headers f = request.files['file'] postLang = request.form.get("lang", type=str) log.close() if f and allowed_file(f.filename): fname = secure_filename(f.filename) ext = fname.rsplit('.',1)[1] unix_time = int(time.time()) new_filename = str( random.randrange(0, 10001, 2))+str(unix_time)+'.'+ext f.save(os.path.join(file_dir,new_filename)) if cmp(postLang, "chi_sim"): strboxs = pytesseract.image_to_boxes(Image.open("/var/OCRhtml/upload/" + new_filename), lang="chi_sim") strdata = pytesseract.image_to_string(Image.open("/var/OCRhtml/upload/" + new_filename), lang="chi_sim") print "Chinese" else: strboxs = pytesseract.image_to_boxes(Image.open("/var/OCRhtml/upload/"+new_filename)) strdata = pytesseract.image_to_string(Image.open("/var/OCRhtml/upload/"+new_filename)) return jsonify({"errno":0, "msg":"succeed ","data":strdata,"info":strboxs}) else: return jsonify({"errno":1001, "errmsg":u"failed"}) if __name__ == '__main__': http_server = WSGIServer(('', 80), app) http_server.serve_forever()
到此這篇關(guān)于基于Python的OCR實(shí)現(xiàn)示例的文章就介紹到這了,更多相關(guān)Python OCR 內(nèi)容請(qǐng)搜索億速云以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持億速云!
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