Five students - Mahbub Murshed, Fahim Foysal, Imtiaz Ur Rahman Khan, Rifat Hossain Khan, and Maksudur Rahman - presented on optical character recognition (OCR) to their class. Their presentation covered what OCR is, how it works, its implementation, advantages and disadvantages, and future prospects. They discussed how OCR uses techniques like grayscaling, binarization, noise removal and image sharpening to convert scanned documents into editable text files. The presentation noted that while OCR has benefits like searchable documents and time savings, it also has limitations such as accuracy issues and an inability to read handwritten text.

1. DIGITAL ELECTRONICS
Presentation on
OPTICAL CHARACTAR
RECOGNITON(OCR)
Section : C
Faculty : Rethwan Faiz

2. Presented by
› Mahbub Murshed
› Fahim Foysal
› Imtiaz Ur Rahman Khan
› Rifat Hossain Khan
› Maksudur Rahman
15-30211-2
15-30231-2
15-29626-2
15-30189-2
15-30195-2

3. Topics
› What is OCR?
› Working Process of a OCR
› OCR Implementation
› Advantages and Disadvantages
› Future prospects

4. Overview
› a technology that enables
converting non-digital files
into editable text files.
› recognition of printed or
written text characters by
a computer

5. Architecture of OCR

6. Objectives
› Converting paper document into editable text format
› Speeding up character recognition in document
processing
› Embedding to different application systems
› Creating an OCR System for uni-font and uni-text size
recognition

7. Methodologies Used in OCR
1. Grayscaling
2. Binarization
3. Noise Removing
4. Image Sharpening
5. Line - Word - Character Segmentation
6. Feature Extraction

14. OCR(optical character
recognition)
How does it work?

15. Basic design of OCR

16. Some Methods is use in OCR
 Grayscaling
 Binarization
 Noise removing
 Image sharping
 Line-word-character segmentation
 Feature extraction
 Classification

17. Example of Methods

18. Use case diagram of OCR system

19. Implementations of
Optical Character
Recognition

20. OCR Implementation
› Data entry for business documents, e.g. cheque, passport,
invoice, bank statement and receipt
› Automatic number plate recognition
› Automatic insurance documents key information
extraction
› Extracting business card information into a contact list

21. OCR Implementation
› More quickly make textual versions of printed documents,
e.g. book scanning for Project Gutenberg
› Make electronic images of printed documents searchable,
e.g. Google Books
› Converting handwriting in real time to control a computer
(pen computing)

22. Advantages and
Disadvantages of
OCR

23. Benefits are-
› Documents will be text-searchable with OCR processing. From
that, it gives you the advantage of using the name of your
documents, reference numbers, addresses, etc.
› Saving your lots of time when using a digital file rather than
paper documents.
› With low costing OCR processing. The advantage is that it can
improve how your business operates.
› OCR allows you to copy and paste from the document itself
whether that's in PDF format or MS Word format.

24. Disadvantages are-
› Limited Documents: OCR works best with good quality typed
documents. Handwritten documents cannot be easily read by
OCR software.
› Accuracy : No OCR software is 100 percent accurate. The
number of errors depends upon the quality and type of document,
including the font used.
› Work-Around : OCR has difficulty differentiating between
characters, such as the number zero and a capital "O."

25. Future
Prospects

26. Future Prospects
› Recognize and translate languages

27. Future Prospects
› Assisting blind and visually impaired persons

28. Future Prospects
› Handwritten documents recognized in future

29. Sources
› https://en.wikipedia.org/wiki/Optical_character_recognition
› https://searchcontentmanagement.techtarget.com/definition
/OCR-optical-character-recognition
› https://cloud.google.com/vision/docs/ocr
› https://www.techopedia.com/definition/31623/optical-
character-recognition-ocr

30. Thank
You!