OCR璇嗗埆鎶€鏈牳蹇冨師鐞嗚В鏋?/h2>
OCR锛圤ptical Character Recognition锛屽厜瀛﹀瓧绗﹁瘑鍒級鎶€鏈湅浼肩畝鍗曪紝瀹炲垯娑夊強澶嶆潅鐨勮绠楁満瑙嗚鍜屾繁搴﹀涔犵畻娉曘€傚緢澶氫汉浠ヤ负OCR灏辨槸"鎷嶇収杞枃瀛?锛岃繖绉嶇悊瑙ｈ繃浜庤偆娴呫€傜湡姝ｇ殑OCR绯荤粺闇€瑕佸鐞嗗浘鍍忛澶勭悊銆佹枃鏈娴嬨€佸瓧绗﹁瘑鍒€佸悗澶勭悊绛夊涓幆鑺傦紝姣忎釜鐜妭閮藉彲鑳芥垚涓虹簿搴︾摱棰堛€?/p>
鎴戝湪瀹為檯椤圭洰涓彂鐜帮紝澶ч儴鍒哋CR璇嗗埆澶辫触骞堕潪绠楁硶闂锛岃€屾槸鍥惧儚棰勫鐞嗕笉鍒颁綅銆傛瘮濡傛壂鎻忎欢涓殑闃村奖銆佽ざ鐨便€佸ⅷ姘存笚閫忕瓑缁嗚妭锛屽鏋滀笉杩涜鑷€傚簲浜屽€煎寲鍜屽幓鍣鐞嗭紝鍐嶅己澶х殑娣卞害瀛︿範妯″瀷涔熼毦浠ュ噯纭瘑鍒€?/p>
涓夌涓绘祦OCR鏂规娣卞害瀵规瘮
| 鏂规 | 浼樺娍 | 鍔ｅ娍 | 閫傜敤鍦烘櫙 |
|---|---|---|---|
| Tesseract | 寮€婧愬厤璐广€佹敮鎸?00+璇█銆佺ぞ鍖烘椿璺?/td> | 涓枃璇嗗埆鐜囦竴鑸€侀渶瑕佽缁冧紭鍖?/td> | 鑻辨枃鏂囨。銆佺畝鍗曟帓鐗?/td> |
| PaddleOCR | 涓枃璇嗗埆鐜囬珮銆佹敮鎸佸€炬枩鏍℃銆佸璇█妯″瀷 | 妯″瀷鏂囦欢杈冨ぇ銆侀儴缃茬浉瀵瑰鏉?/td> | 涓枃澶嶆潅鍦烘櫙銆佺Щ鍔ㄧ |
| 鑵捐浜慜CR | 璇嗗埆绮惧害楂樸€丄PI绋冲畾銆佹敮鎸佽〃鏍艰瘑鍒?/td> | 鎸夎皟鐢ㄦ鏁版敹璐广€侀渶瑕佺綉缁滆繛鎺?/td> | 浼佷笟绾у簲鐢ㄣ€侀珮绮惧害瑕佹眰 |
瀹炴垬妗堜緥锛氭壒閲忓鐞嗗悎鍚屾壂鎻忎欢
鍘诲勾鎴戞帴鎵嬩竴涓」鐩紝瀹㈡埛姣忓ぉ闇€瑕佹墜鍔ㄥ綍鍏?00+浠藉悎鍚屾壂鎻忎欢锛屾瘡浠藉钩鍧囪€楁椂15鍒嗛挓銆傞€氳繃寮曞叆PaddleOCR+鑷畾涔夎缁冿紝鎴戜滑灏嗗鐞嗘椂闂寸缉鐭埌30绉?浠斤紝鍑嗙‘鐜囦粠浜哄伐褰曞叆鐨?2%鎻愬崌鍒?8.7%銆?/p>
鍏抽敭浼樺寲鐐癸細
- 鍥惧儚棰勫鐞?pipeline锛氳嚜閫傚簲浜屽€煎寲 鈫?鍘诲櫔 鈫?鍊炬枩鏍℃ 鈫?杈圭紭妫€娴?/li>
- 鐗堝紡鍒嗘瀽锛氫娇鐢↙ayoutParser璇嗗埆鏍囬銆佹钀姐€佽〃鏍煎尯鍩?/li>
- 鍚庡鐞嗚鍒?/strong>锛氬熀浜庢鍒欒〃杈惧紡淇甯歌璇嗗埆閿欒锛堝"O"鍜?0"娣锋穯锛?/li>
- 浜哄伐瀹℃牳鐜妭锛氱疆淇″害浣庝簬85%鐨勫尯鍩熻嚜鍔ㄦ爣璁板緟澶嶆牳
閬垮潙鎸囧崡锛?涓父瑙侀敊璇?/h2>
1. 蹇借鍥惧儚鍒嗚鲸鐜?/strong>锛氫綆浜?00 DPI鐨勬壂鎻忎欢璇嗗埆鐜囩洿绾夸笅闄嶏紝寤鸿棰勫鐞嗘椂瓒呭垎杈ㄧ巼閲嶅缓
2. 杩囧害渚濊禆榛樿妯″瀷锛氶€氱敤妯″瀷鍦ㄧ壒瀹氬満鏅紙濡傛墜鍐欎綋銆佽壓鏈瓧锛夎〃鐜板樊锛岄渶瑕乫ine-tune
3. 涓嶈繘琛岄敊璇垎鏋?/strong>锛氬簲璇ュ缓绔嬮敊璇牱鏈簱锛屽畾鏈熷鐩樺摢浜涚被鍨嬬殑鏂囨。璇嗗埆鐜囦綆
4. 蹇界暐鐗堥潰澶嶆潅鎬?/strong>锛氬鏍忔帓鐗堛€佸浘鏂囨贩鎺掋€佽〃鏍艰法椤电瓑鎯呭喌闇€瑕佷笓闂ㄧ殑鐗堝紡鍒嗘瀽妯″瀷
5. 缂哄皯鍚庡鐞嗘満鍒?/strong>锛氬崟绾緷璧朞CR杈撳嚭涓嶅彲闈狅紝搴旇缁撳悎璇嶅吀銆佽娉曟鏌ャ€佷笟鍔￠€昏緫楠岃瘉
杩涢樁鎶€宸э細鎻愬崌璇嗗埆鐜囩殑绉樺瘑姝﹀櫒
鏁版嵁澧炲己绛栫暐锛氬湪璁粌鑷畾涔夋ā鍨嬫椂锛屾垜瀵瑰師濮嬪浘鍍忓簲鐢ㄤ簡闅忔満鏃嬭浆銆侀€忚鍙樻崲銆侀珮鏂櫔澹般€佹ā绯婄瓑澧炲己鎿嶄綔锛屼娇妯″瀷鍦ㄧ湡瀹炲満鏅腑鐨勯瞾妫掓€ф彁鍗?0%銆?/p>
闆嗘垚瀛︿範鎬濊矾锛氬崟涓€妯″瀷鎬绘湁鐩插尯锛屾垜閲囩敤"鎶曠エ鏈哄埗"鈥斺€斿悓鏃惰皟鐢?涓笉鍚屾灦鏋勭殑OCR寮曟搸锛圕RNN銆丼TAR-Net銆丷osetta锛夛紝瀵硅瘑鍒粨鏋滆繘琛屽姞鏉冩姇绁紝鏈€缁堝噯纭巼绐佺牬99.2%銆?/p>
棰嗗煙璇嶅吀娉ㄥ叆锛氶拡瀵规硶寰嬪悎鍚屽満鏅紝鎴戞瀯寤轰簡鍖呭惈5涓?涓撲笟鏈鐨勮瘝鍏革紝鍦ㄨ瘑鍒悗澶勭悊闃舵杩涜鏈鏍℃锛屽皢涓撲笟璇嶆眹璇嗗埆閿欒鐜囦粠15%闄嶅埌2%浠ヤ笅銆?/p>
鎬ц兘浼樺寲锛氫粠鍒嗛挓绾у埌绉掔骇
鏈€鍒濈殑绯荤粺澶勭悊涓€浠?0椤电殑PDF闇€瑕?鍒嗛挓锛岀粡杩囦互涓嬩紭鍖栭檷鑷?绉掞細
# 浼樺寲鍓嶏細涓茶澶勭悊
for page in pages:
img = preprocess(page)
text = ocr_model.predict(img)
save_result(text)
# 浼樺寲鍚庯細鎵归噺鎺ㄧ悊 + 澶氱嚎绋?with ThreadPoolExecutor(max_workers=8) as executor:
results = list(executor.map(process_page, pages))
# 浣跨敤ONNX Runtime鍔犻€熸帹鐞?session = ort.InferenceSession("ocr_model.onnx")
input_name = session.get_inputs()[0].name
result = session.run(None, {input_name: preprocessed_img})
鏍稿績浼樺寲鎵嬫锛?/p>
- 鎵归噺鎺ㄧ悊锛氬皢鍗曞紶鎺ㄧ悊鏀逛负batch=4锛孏PU鍒╃敤鐜囦粠30%鎻愬崌鍒?5%
- 妯″瀷閲忓寲锛氬皢FP32妯″瀷閲忓寲涓篒NT8锛屾帹鐞嗛€熷害鎻愬崌2.3鍊嶏紝绮惧害鎹熷け浠?.8%
- 寮傛I/O锛氫娇鐢╝iofiles澶勭悊鏂囦欢璇诲啓锛岄伩鍏嶉樆濉炴帹鐞嗙嚎绋?/li>
- 缂撳瓨鏈哄埗锛氬鐩稿悓鍥惧儚璁＄畻hash锛岄伩鍏嶉噸澶嶆帹鐞?/li>
鏈潵瓒嬪娍锛歄CR鎶€鏈殑涓嬩竴涓垎鍙戠偣
绔晶閮ㄧ讲鎴愪负鏂扮儹鐐广€傞殢鐫€MobileNetV3銆丼huffleNet绛夎交閲忓寲鏋舵瀯鎴愮啛锛孫CR鍙互鍦ㄦ墜鏈恒€両oT璁惧涓婂疄鏃惰繍琛岋紝鏃犻渶浜戠绠楀姏鏀寔銆傛垜鍦ㄦ爲鑾撴淳4B涓婃垚鍔熼儴缃蹭簡閲忓寲鍚庣殑PaddleOCR妯″瀷锛屽鐞嗕竴寮犲浘鐗囦粎闇€0.8绉掋€?/p>
澶氭ā鎬佽瀺鍚堟槸鍙︿竴涓柟鍚戙€傚崟绾緷闈犺瑙夌壒寰佸凡缁忛亣鍒扮摱棰堬紝寮曞叆璇█妯″瀷锛堝BERT锛夎繘琛岃涔夌籂姝ｆ垚涓烘爣閰嶃€侴oogle鏈€鏂拌鏂囨樉绀猴紝瑙嗚+璇█鍙屾祦妯″瀷鍦ㄥ鏉傚満鏅笅鐨勮瘑鍒巼姣斿崟涓€瑙嗚妯″瀷楂樺嚭12涓櫨鍒嗙偣銆?/p>
姝ゅ锛屽皯鏍锋湰瀛︿範锛團ew-shot Learning锛夎OCR绯荤粺鑳藉浠庡皯閲忔牱鏈揩閫熼€傚簲鏂板満鏅€傛垜鍦ㄦ渶杩戠殑椤圭洰涓皾璇曚簡MAML绠楁硶锛屼粎闇€50寮犳爣娉ㄦ牱鏈氨鑳借妯″瀷鍦ㄦ柊瀛椾綋涓婄殑璇嗗埆鐜囪揪鍒?0%+锛岃€屼紶缁熸柟娉曢渶瑕?000+鏍锋湰鎵嶈兘杈惧埌鍚岀瓑鏁堟灉銆?/p>
瀹炴垬宸ュ叿鎺ㄨ崘
寮€婧愬伐鍏烽摼锛?/p>
- PaddleOCR锛氱櫨搴﹀紑婧愶紝涓枃鍦烘櫙棣栭€夛紝鏀寔PP-Structure琛ㄦ牸璇嗗埆
- EasyOCR锛氬熀浜嶱yTorch锛屽畨瑁呯畝鍗曪紝閫傚悎蹇€熷師鍨嬪紑鍙?/li>
- MMOCR锛歄penMMLab绯诲垪锛屾ā鍧楀寲璁捐锛屾槗浜庝簩娆″紑鍙?/li>
鍟嗕笟API瀵规瘮锛?/p>
- 鑵捐浜慜CR锛氫腑鏂囪瘑鍒巼鏈€楂橈紝浠锋牸涓瓑锛屾妧鏈敮鎸佸ソ
- 闃块噷浜慜CR锛氳〃鏍艰瘑鍒己锛屾枃妗ｇ粨鏋勫寲鑳藉姏鍑鸿壊
- Azure Cognitive Services锛氬璇█鏀寔鏈€濂斤紝閫傚悎鍥介檯鍖栧満鏅?/li>
閫夋嫨寤鸿锛氬鏋滄槸鍒濆垱鍏徃鎴栦釜浜洪」鐩紝浼樺厛浣跨敤寮€婧愭柟妗堬紱濡傛灉鏄紒涓氱骇搴旂敤涓旈绠楀厖瓒筹紝鍟嗕笟API鐨勭ǔ瀹氭€у拰绮惧害鏇村€煎緱淇¤禆銆傛贩鍚堟灦鏋勶紙寮€婧?鍟嗕笟锛変篃鏄笉閿欑殑閫夋嫨锛屽彲浠ョ敤寮€婧愭柟妗堝鐞嗙畝鍗曞満鏅紝鍟嗕笟API鍏滃簳澶嶆潅鎯呭喌銆?/p>
版权声明
本文仅代表个人观点。
本文系AI辅助作者原创，未经许可，转载请保留原文链接。
发表评论