INTELLIGENT TEXT RECOGNITION SOFTWARE SOFTWARE
The software for handwritten text recognition that we developed does produce relatively high results, which in turn makes them worthwhile to consider for wide business applications. OCR of handwritten characters is a rather difficult task. This is, unfortunately, slow and expensive when compared to a computer that could do the same task. Traditionally this is done with an office worker keying in the contents of the document. Today’s digital document libraries need to be searchable and office workers need to be able to index and pull data from within these documents. Technologies: MATLAB, Python, OpenCV, C++, Hough transformation algorithms, Android, IOS, image processing, machine learning, k-nearest neighbors algorithm (k-NN). For lower quality input files we were able to achieve an accuracy rate of 80%. Given variances in handwriting styles, capture rates can vary dramatically, however, the OCR software, developed by our image processing team maintains the accuracy rate of 98% if source documents are in good condition. Our ICR platform is a self-learning system which means the level of recognition accuracy is increased each time the application is used. 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 Symtrax has developed two different MICR fonts that conform to MICR font. characters separation from the background Intelligent Character Recognition Software Magnetic Ink Character Recognition v.1.1 Magnetic Ink Character Recognition 1.1 is a very serviceable tool which enables banks to recognize and read the encoded line of data printed at the bottom of each check.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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