correctly segment areas with numbers (our region of interest).Overall, the handwritten character recognition can be divided into following steps: We have done a lot of work to overcome the limitations of OCR by applying preprocessing algorithms (image binarization, waste clearing, text lines detection, character detection). Intelligent Character Recognition Software characters separation from the background.
Here is a list of problems that occurred during the development of a handwritten characters recognition application: Intelligent Character Recognition (ICR) is an advanced form of Optical Character Recognition much like OCR, it is a process for the electronic conversion of scanned or sometimes photographed images of handwritten characters to be converted into computer-readable text. Every container has a label with ID and QR-Code which is used as a link to the dataset. We needed to develop an intelligent character recognition software that would verify tests by checking whether handwritten ID (the set of letters and numbers) on the test container matches the ID from the dataset. Recently we have completed a project for a pharmaceutical company from Belgium. Kitchen Furniture & Appliances Recognition.Automatic Fruit Counting for Conveyor Systems.SimpleContacts Applicant Tracking Software.
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