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Exploring Computer Vision: A Comprehensive Guide to Optical Character Recognition Methods

This guide delves into Computer Vision, focusing on Optical Character Recognition (OCR) methods. Covering OCR techniques such as OCR - Character Recognition and Chaincode Algorithm, this resource provides an overview of OCR types, applications, and sample character recognition algorithms. Additionally, it explores Content-Based Image Recognition (CBIR) and its various recognition methods, including face detection. The guide also discusses applications like U.S. Postal Service automation and news video recognition and retrieval, along with potential uses in robots, self-controlled vehicles, and security systems utilizing fingerprint and retina matching. For a detailed exploration of computer vision topics and related resources, visit the provided web link.

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Exploring Computer Vision: A Comprehensive Guide to Optical Character Recognition Methods

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  1. Computer Vision Ronald Frazier CIS 479 April 20, 1999

  2. Introduction • Important area of study • Ease of use for new users • Managing large quantities of images

  3. Combines a Variety of Disciplines • Standard Programming Techniques • Artificial Intelligence Techniques • Neural Networks • Fuzzy Logic • Image Processing Techniques • Human Biology and Physiology

  4. Optical Character Recognition (OCR) • Converting graphical representation of text to character based representation • One of the most developed areas of computer vision • Lots of ideas for further research

  5. OCR - Character Recognition • Examining graphical representation of character to determine character represented • Identification Process • Apply image processing • Identify character (usually using neural networks)

  6. Chaincode Algorithm • Apply image processing to get outline • Break character into 4x4 grid OCR - Sample Character Recognition Algorithm • Calculate average slope and curvature for each cell

  7. OCR - Sample Character Recognition Algorithm • Chaincode Algorithm • Data processed by Neural Network • Character recognized by Neural Network

  8. Types of OCR • Preprinted Text • Live Handwriting

  9. OCR - Preprinted Text • Text that has already been written or typed before recognition begins • ex: Encyclopedia, Contract, Report • Can be used on printed or handwritten documents

  10. OCR - Preprinted Text • Recognition Process • Identify possible individual characters • Standard character recognition techniques • determine possible words • Compare to dictionary and determine existing words • Select most likely existing word

  11. Applications - U.S. Postal Service • Handle over 100 billion parcels yearly. • Need automated way to identify destination of each parcel and print a barcode for faster processing. • For more details, see my web site

  12. OCR - Live Handwriting • Process text as it is written • ex: Personal Digital Assistants • Can be used on handwritten documents • Track time, direction, and angles of lines as they are written and use it to identify character

  13. Content Based Image Recognition (CBIR) • Identifying contents of images • Applications • Automated organization and classification of images • Image database searching • Still images or video

  14. CBIR - Recognition Methods • Content that can be recognized: • Specific colors and approximate proportions • ex: A lot of Red, a little bit of Green • Objects base on shapes, colors, textures, edges, size, etc. • Face detection

  15. Applications - News Video Recognition and Retrieval • Store video in database along with description of content for searching • Automated determination of video content

  16. Applications - News Video Recognition and Retrieval • Processing Technique • locate and extract on screen captions and closed captions • Apply OCR to convert captions to text

  17. Applications - News Video Recognition and Retrieval • Processing Difficulties • Interference from background image • Handled by Frame Filtering and Frame ANDing • Low resolution of captions • Handled by magnifying characters and interpolating pixel values

  18. Other Possible Uses of Computer Vision • Robots • Self-Controlled Vehicles • Security - Fingerprint and Retina Matching

  19. Additional Information • For more information on additional topics not covered in this presentation, along with links to other computer vision pages, see my web site at: http://people.mw.mediaone.net/ldkronos/AI

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