Conversion of Text in scanned

pages directly to editable

documents

To convert the text in scanned pages or photographs directly to editable word or text documents using either-

1) A Software

2) An Application

Digitising printed texts so that

1) they can be electronically edited,

2) searched,

3) stored more compactly,

4) displayed on-line,

5) and used in machine processes

Has no patent signed up till date

Increases efficiency & effectiveness of office work

Ability to instantly search through content

No rewriting everything to correct one thing.

Workflow is increased

Can be used in banks, office, colleges, almost anywhere

Pattern recognition

Artificial intelligence

Computer vision

To make a software with the help of OCR Technology which gives 100% output without any bugs

ORTo make an app on mobile phones for conversion of text in photographs to documents with the help of OCR Technology

Optical character recognition

OR

Optical character reader

Mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo

No OCR software is 100 percent accurate. The number of errors depends upon the quality and type of document, including the font used. Errors that occur during OCR include misreading letters, skipping over letters that are unreadable, or mixing together text from adjacent columns or image captions.

OCR has difficulty differentiating between characters, such as the number zero and a capital "O."

OCR works best with good quality typed documents. Handwritten documents cannot be easily read by OCR software.

Problems with poor contrast and difficulty with documents that have both images and text.

Decreases work load

Saves time and money

Produces cleaner data

Fast & accurate

Gain efficiencies in production imaging systems.

Reduces labour costs required for verification

Scalable for growth or increased document capture

Common output formats including:

Formatted ASCII

RTF - support for color/grayscale images

PDF - support for color/grayscale images

HTML

Data entry for business documents, e.g. check, passport, invoice, bank statement and receipt

Automatic number plate recognition

Automatic insurance documents key information extraction

Extracting business card information into a contact list

More quickly make textual versions of printed documents, e.g. book scanning for a Project

Make electronic images of printed documents searchable, e.g. Google Books

Converting handwriting in real time to control a computer (pen computing)

Assistive technology for blind and visually impaired users

Entire banking sector In colleges, schools etc In offices Widely used as a form of data entry from printed

paper data records, whether passport documents, invoices, bank statements, computerised receipts, business cards, mail, printouts of static-data, or any suitable documentation.

SHRUTI CHAVAN