Sökning: "Tesseract OCR"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden Tesseract OCR.
1. Real time Optical Character Recognition in steel bars using YOLOV5
Master-uppsats, Blekinge Tekniska HögskolaSammanfattning : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. LÄS MER
2. Automatic compilation and summarization of documented Russian equipment losses in Ukraine : A method development
Uppsats för yrkesexamina på grundnivå, FörsvarshögskolanSammanfattning : Since the Russian invasion of Ukraine on the 24th of February 2022 – most of the United Nations have, in one way or another, participated in the most significant war of many decades. The war is characterized by Russia’s atrocious war crimes, illegal annexations, terror, propaganda, and complete disrespect for international law. LÄS MER
3. OCR-skanning i Android med Google ML Kit : En applikation för sammanställning av kvitton
Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : Om två parter med delad ekonomi vill se över och räkna på sina inköp gjort från matvarubutiker finns två alternativ. Att spara alla fysiska kvitton för att sedan manuellt hantera uträkningen eller att använda digitala kvitton, vilket långt ifrån alla matvarubutiker erbjuder. LÄS MER
4. Benchmarking Object Detection Algorithms for Optical Character Recognition of Odometer Mileage
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Machine learning algorithms have had breakthroughs in many areas in the last decades. The hardest task, to solve with machine learning, was solving tasks that humans solve intuitively, e.g. understanding natural language or recognizing specific objects in images. LÄS MER
5. Improvement of Optical Character Recognition on Scanned Historical Documents Using Image Processing
Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/DatavetenskapSammanfattning : As an effort to improve accessibility to historical documents, digitization of historical archives has been an ongoing process at many institutions since the origination of Optical Character Recognition. The old, scanned documents can contain deteriorations acquired over time or caused by old printing methods. LÄS MER