OCR Tesseract needs a single data stage to recognize characters and a second stage to meet letters, which was not insured through letters, which can match the sentence or word context. OCR Tesseract is used as a primary tool. The official version of OCR Tesseract enables developers in building their applications using C++ API or C.
The OCR Tesseract Applications
OCR Tesseract has a lot of applications across different industries intending to minimize manual effort. This has been incorporated in our daily lives that we hardly notice it. However, they can give better user experiences.
It is used for handwriting recognition for extracting information. There have been significant improvements made in this field. Microsoft has made great mathematical applications, which takes inputs as a handwritten mathematical equation and it gives the solution together with an explanation in a step-by-step way.
OCR is used increasingly for digitization by different industries to reduce manual workload. This way it becomes efficient and easy to store and extract information from receipts, business documents, passports, invoices, etc. When you upload the KYC, OCR is used for extracting information from the documents and also store them for further reference.
It is used to scan book wherein the raw images are changed to a digital text format. Some large scale projects such as Google Books, Million Book Project, and Gutenberg projects for scanning and digitization books and store works like an archive.
The banking industry is using OCR for archiving client-related paperwork such as onboarding material for creating a client repository. It minimizes the onboarding time significantly and thus improves user experiences. The banks use it for extracting information such as amount, account number, and cheque number for quick processing.
OCR is used in self-driving cars. Autonomous cars depend on OCR for reading traffic signs and signposts. A good understanding of the signs makes these cars safe for other vehicles and pedestrians, which ply on the roads. The applications are discussed in details in our help for assignment on OCR Tesseract.