Kana iwe wakambopedza maawa uchisefa mukati memurwi wezvinyorwa zvemukati, mazwi, kana rumwe ruzivo, OCR inogona kuve shamwari yako yepamoyo. Kuve nekugona kushandisa muverengi wePDF kana imwe dhizaini manejimendi chishandiso kunogona kukuchengetedza nguva yakawanda. Vazhinji vedu mubhizinesi tinogara tichitsvaga nzira dzekuvandudza mashandiro uye kufambisa mashandiro.
Mukuita uku, OCR inogona kuve chishandiso chinobatsira. Tichanyatso tarisisa Optical Character Recognition (OCR) muchidimbu ichi, kusanganisira kuti chii, mashandiro ayo, nezvimwe.
Saka, chii chaizvo chinonzi (OCR) Optical Character Recognition?
Kuzivikanwa kwemavara nderimwe zita rekuona mavara ekuzivikanwa (OCR).
Dhata inotorwa uye inodzokororwa kubva pamapepa akaongororwa, mafoto ekhamera, uye mufananidzo-chete pdf uchishandisa OCR chishandiso. OCR software inobvisa mavara kubva pamifananidzo, yoashandura kuva mazwi, uyezve inounganidza mitsara, ichibvumira kuwana uye kushandurwa kwemavara ekutanga.
Inobvisawo kukosha kwedata rinopinda nemaoko. MaOCR masisitimu anoshandura magwaro enyama, akadhindwa kuita zvinyorwa zvinoverengwa nemuchina uchishandisa musanganiswa wehardware nesoftware. Mavara anokopwa kana kuverengwa nehardware (senge optical scanner kana yakatsaurirwa redunhu bhodhi), uye kumwe kugadzirisa kunowanzo kubatwa nesoftware.
chakagadzirwa njere (AI) inogona kushandiswa muOCR software kuwana mamwe maitiro akaomarara ehungwaru hunhu recognition (ICR), sekusiyanisa mitauro kana zvitaera zvekunyora. OCR inonyanya kushandiswa kushandura zvinyorwa zvakaoma zvemutemo kana zvenhoroondo kuita zvinyorwa zvepdf, zvinogona kugadziridzwa, kufometwa, nekutsvagwa sekunge zvakanyorwa pachishandiswa izwi processor.
Paunotarisisa fomu kana risiti, semuenzaniso, komputa yako inoichengeta sefaira remufananidzo. Iwe haugone kugadzirisa, kutsvaga, kana kuverenga mazwi ari mufaira remufananidzo uine chinyorwa edhita. Iwe unogona, zvisinei, kushandisa OCR kushandura iyo pikicha kuita chinyorwa chinyorwa uye chengetedza zviri mukati se data data.
Sei kushanda?
Sezvambotaurwa, iyo OCR system ine zvese zviri zviviri Hardware uye software. Chinangwa chesevhisi ndechekuongorora zviri mugwaro remuviri uye kushandura zvidimbu kuita script inogona kushandiswa kugadzirisa data.
Funga nezvemasevhisi ekuronga epositi neemail, semuenzaniso. OCR yakakosha pakukwanisa kwavo kukurumidza kugadzirisa kwainobva uye kudzosa kero kuitira kuti vagovanisa tsamba zvakanyanya. Nzira nhatu dzinotevera dzakakosha pakubudirira kwechirongwa:
1. Mufananidzo Pre-processing
Iyo tekinoroji inoshandura chimiro chaicho chegwaro kuita mufananidzo, senge rekodhi mufananidzo, mudanho rekutanga. Chinangwa chedanho iri ndechekuita kuti chimiro chemuchina chive chakarurama sezvinobvira uchibvisawo kutsauka kusingadiwi.
Mushure maizvozvi, pfungwa yacho inoshandurwa kuva dema uye chena uye inoongororwa kune yakajeka vs. nzvimbo dzakasviba (mavara). Uchishandisa tekinoroji yeOCR, iyo pikicha inozopatsanurwa kuita zvikamu zvakapusa, senge maspredishiti, zvinyorwa, kana inset girafu.
2. AI Kuzivikanwa Kwehunhu
Kusiyanisa mavara uye manhamba, AI inoongorora nzvimbo dzakasviba dzemufananidzo. Kunongedza izwi rimwe chete, chirevo, kana ndima panguva, AI inowanzo shandisa imwe yeinotevera nzira:
- Kuzivikanwa Kwemaitiro: Kudzidzisa iyo AI sisitimu, matekinoroji anoshandisa mitauro yakasiyana-siyana, mafomati ezvinyorwa, uye manyorero. Kuti uone machisi, iyo algorithm inofananidza mavara ari pane yakaonekwa tsamba mufananidzo kune manotsi aakatodzidza.
- Feature Recognition: Kuziva mavara matsva, sisitimu inoshandisa mitemo yakavakirwa pane humwe hunhu hunhu. Humwe hunhu inhamba yemitsara yakamonereka, yakachinjika kana yakakombama mutsamba.
Iyo algorithm inoshandisa maitiro akavakirwa pane mamwe maitiro ehunhu kuona akasiyana mavara. Huwandu hwemakona, kuyambuka, kana kupeta mitsetse muchimiro, semuenzaniso, chimwe chinhu.
3. Post-preprocessing
Munguva yePost-Processing, AI inogadzirisa zvikanganiso mufaira rekupedzisira. Rimwe zano ndere kudzidzisa iyo AI paduramazwi remazwi rinozoshandiswa mubepa. Zvadaro, kuti uone kuti hapana kududzira kunopfuura kwemazwi eAI, dzikamisa kubuda kweAI kune iwo mazwi/mafomati.
Mabhenefiti eOCR
- Mabhenefiti makuru eOCR tekinoroji kuchengetedza nguva uye kuderera zvikanganiso. Inobvumirawo data kuti isimbiswe kuita zip mafaera, chimwe chinhu chaicho chakadhindwa peji haigone kuita.
- Dhata inogona kutsvakwa uchishandisa Optical Character Recognition. Mafaira akaongororwa akashandurwa kuita mafaera anoverengwa nemuchina anogona kuchengetwa mune chero fomati inogona kutsvagwa mukati mesevha yesangano kana kuti iwanikwe pasi rose paInternet.
- OCR inowanzoshandiswa pamwe chete nemamwe maitiro ehungwaru hwekugadzira. Semuyenzaniso, mota dzinozvityaira dzinotarisa uye kuverenga marezinesi ma plates nezviratidzo zvemumugwagwa, kuziva marogo emhando mumasocial network, uye kuona kurongedzerwa kwezvinhu mumapikicha ekushambadza. Artificial intelligence tekinoroji senge iyi inobatsira mafemu kuita zvirinani kushambadzira uye sarudzo dzekushanda dzinochengetedza mari uye dzinowedzera kugutsikana kwevatengi.
- Ruzivo rwuripo uye rutsva runogona kushandurwa kuita dura reruzivo rinonyatso tsvaga. Ivo vanogona zvakare kushandisa data analytics maturusi kuita otomatiki dhatabhesi yezvinyorwa zvekuwedzera ruzivo kugadzirisa.
- Optical Character Recognition (OCR) chishandiso chine simba chinogona kuziva chero chinyorwa chemutauro. Uku kugona kweOCR, kana kwapetwa neiyo Unicode standard uye shanduro software seGoogle Translate, inobvumira gwaro rega rega rakaongororwa uye rakadhindwa kuti rishandurirwe mune chero mumwe mutauro. Kubatsira kunobvisa kudiwa kwevashanduri vevanhu uye kuedza kwavo kunopedza nguva.
Shandisa Nyaya dzeOCR
Iyo inonyanya kuzivikanwa mashandisirwo ekuzivikanwa kwemavara ekuona kushandura mapepa akadhindwa kuita zvinyorwa zvinoverengwa nemuchina (OCR). Mushure meOCR-kugadzirisa gwaro repepa rakaongororwa, zvinyorwa zvinogona kugadziriswa uchishandisa izwi processor seMicrosoft Word kana Google Docs.
Mazhinji masisitimu uye masevhisi anozivikanwa muhupenyu hwedu hwemazuva ese anovimba neOCR, iyo inowanzo shandiswa senge isingaonekwe tekinoroji.
Kupinza data otomatiki, kubatsira mapofu uye akaremara, uye kunyora magwaro einjini yekutsvaga, senge mapasipoti, marezenisi erezinesi, mainvoice, zvirevo zvebhangi, makadhi ebhizinesi, uye otomatiki nhamba yekuzivikanwa kwendiro, zvese zvakakosha asi zvishoma-zvinozivikanwa kushandiswa kweOCR tekinoroji. .
Nekushandura mapepa uye mapikicha akaongororwa kuita muchina-anoverengeka, anotsvaga mafaera ePDF, OCR inobvumira optimization yehukuru-data modhi. Pasina kutanga kushandisa OCR kune zvinyorwa zvisati zvatova nemavara ezvinyorwa, kugadzirisa uye kubvisa ruzivo rwakakosha hakugone kuve otomatiki.
Mapepa akacheneswa zvino anogona kuiswa muhombe-data sisitimu iyo inogona kuverenga data revatengi kubva kubhengi zvitetimende, zvibvumirano, uye mamwe akakosha akadhindwa magwaro nekuda kweOCR kuzivikanwa kwemavara.
Masangano anogona kushandisa OCR kuita otomatiki danho rekuisa mugodhi wedhata, pane kuita kuti vashandi vaongorore zvisingaverengeki magwaro emifananidzo uye nemaoko kudyisa mapinji mupombi hombe yekugadzira data.
OCR software inogona kuona mameseji mumifananidzo, kubvisa zvinyorwa kubva mumifananidzo, uye chengetedza mameseji mafaera mune anotevera mafomati: JPG, JPEG, PNG, BMP, tiff, PDF, uye mamwe.
Bhizinesi repamutemo, iro rinogadzira mapepa akawanda, rinoshandisa kuonekwa kwemavara nenzira dzakasiyana-siyana. Ese magwaro akadhindwa - afidaviti, mitongo, mafaera, zviziviso, madiro, uye zvichingodaro - anogona kuiswa mudijitari, kuchengetwa, uye kusechwa uchishandisa akareruka OCR scanner.
Nzira idzi dzinogona kushandiswa kuita zvinyorwa zvemutemo mune mamwe manyoro emitauro, sechiJapani nechiHindi, sezvo tekinoroji yeOCR ichiwedzera kusvika kumitauro isingashandisi hunhu hwechiRoman. OCR tekinoroji inogona kupa mukana wakatsetseka kune yakawanda mienzaniso kubva kumashure kune bhizinesi rinotsamira zvakanyanya pane yakapfuura.
Zvikumbiro zveOCR
- Kuziva zviratidzo zvemotokari.
- Nekamera, unogona kuziva manumber plate.
- Kupinda, kudhirowa, uye kugadziridzwa kwedata zvese zviri otomatiki.
- Panhandare dzendege, mapasipoti anozivikanwa uye data inotorwa.
- Kugadzira rondedzero yekuonana uchishandisa ruzivo rwebhizinesi makadhi.
- Mapepa ekududzira mapofu nevasingaoni kuti averengerwe zvinonzwika.
- Kuita kuti zvikwanise kutsvaga kuburikidza nemagetsi mifananidzo yezvinhu zvakadhindwa.
- Kugadzira zvinyorwa zvinotsvakwa zvezvinyorwa zvenhoroondo zvakaita semagazini nemapepanhau.
- Kupinda kwedata kwemagwaro ekutengesa akadai secheki, mapasipoti, invoice, zvirevo zvebhangi, marisiti, uye pro forma invoice, pakati pevamwe.
mhedziso
OCR (Optical Character Recognition) inyanzvi yekuongorora uye kudhijita mapepa emapepa. Inogadzira mafaira edhijitari anonyatso tsvaga kubva kumifananidzo, zvinyorwa zvakanyorwa nemaoko, uye magwaro akadhindwa.
Sezvo matekinoroji aya achiwedzera hupfumi uye kuwanikwa, OCR mufananidzo wakakwana wekuti maAI mhinduro dziri kutyaira sei dhatabhesi yemazuva ano.
Kupfupisa, OCR inyanzvi tekinoroji ine hukuru hukuru. Zviridzwa zvakadaro zvakatonyanya kuoma munyika yanhasi. Optical Character Recognition, kune rumwe rutivi, ichavandudza mune ramangwana.
Artificial intelligence (AI) yagadzirira kuve imwe yeanonyanya kukanganisa maitiro mumakore anotevera, achichinja nzira yatinofunga nezve ruzivo.
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