Description

To make the document appear professional, user want to make sure it is free from spelling and grammar errors. Word has several options for checking the spelling. User can run a spelling and grammar check, or User can allow Word to check the spelling automatically as he/she type. When comparing the image type text file with word document it is not possible to check spelling and grammar errors by word. Like this situation we should convert or read an image type text file manually. In this project, the system uses a tool that is Optical character recognition (OCR) to read the image type text document. Optical character recognition (OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text. It is widely used as a form of data entry from printed paper data records, whether passport documents, invoices, bank statements, computerized receipts, business cards, mail, printouts of static-data, or any suitable documentation. It is a common method of digitizing printed texts so that it can be electronically edited, searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech, key data and text mining. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. And we create a new application for get the size of both word and image document and compare and check the spelling errors. Then this application checks the related word from word and image file. And then it finds related and non-related words. Then it highlights the errors in document. Finally, the system displays a chart diagram for related and non-related words.