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Showing 1 to 20 of 89 for “"Character Recognition"”.

  1. Character recognition and information retrieval

    Borsack, Julia Ann Cooley

    Presented are two technologies, character recognition and information retrieval, that are used for text processing. Character recognition translates text image data to a computer-coded format; information retrieval stores these data and provides efficient access to the text. The necessity of their …

    unlv Repository record

  2. Feature Extraction Methods for Character Recognition

    Yampolskiy, Roman V

    rit Repository record

  3. Fuzzy approach for Arabic character recognition

    El-Nasan, Adnan

    rit Repository record

  4. A CARTOGRAPHIC OPTICAL CHARACTER RECOGNITION SYSTEM

    Bolton, RonUniversity of Saskatchewan1977

    This thesis describes an Optical Character Recognition system for use in a cartographic application. The system is primarily intended to recog-nize and digitize both machine printed navigational chart sounding values and hand-printed field sheet sounding values. The system consists of a precision …

    sask Repository record

  5. Trainable Character Recognition Interface Computer (Incom)

    El-Sonni, Mohamed Taher AbdallaUniversity of Illinois at Urbana-Champaign2014

    Made available in DSpace on 2014-12-13T18:02:05Z (GMT). No. of bitstreams: 1 7913444.pdf: 4986677 bytes, checksum: a37fa617d736c1b2b01d746c5023e454 (MD5) Previous issue date: 1978

    uiuc Repository record

  6. Optical character recognition for reading machine applications.

    Clemens, Jon KaufmannMassachusetts Institute of Technology1965

    Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1965. Ph.D.

    mit Repository record

  7. Graphical context as an aid to character recognition

    Kuklinski, Theodore ThomasMassachusetts Institute of Technology1979

    Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979.

    mit Repository record

  8. Assist channel coding for improving optical character recognition

    Kuo, Eric Heng-Shiang, 1978-Massachusetts Institute of Technology2000

    Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.

    mit Repository record

  9. Chinese character recognition in native and second language readers

    Yao, YunUniversity of Illinois at Urbana-Champaign2015

    Embargo set by: Seth Robbins for item 80008 Lift date: 2017-07-22T22:46:21Z Reason: Author requested closed access (OA after 2yrs) in Vireo ETD system

    uiuc Repository record

  10. Handwritten character recognition using the minimum description length principle

    Sahai, AnantMassachusetts Institute of Technology1996

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.

    mit Repository record

  11. System design - optical character recognition with weighted area masks.

    Rueckwald, Ronald Frederick.Massachusetts Institute of Technology1965

    Thesis: M.S., Massachusetts Institute of Technology, Department of Mechanical Engineering, 1965

    mit Repository record

  12. Advanced correlation-based character recognition applied to the Archimedes Palimpsest

    Walvoord, Derek J.

    rit Repository record

  13. A comparison of approaches to on-line handwritten character recognition

    Kassel, Robert HMassachusetts Institute of Technology1995

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

    mit Repository record

  14. Real-time hand printed character recognition on a DSP chip

    Chang, Christopher IsaacMassachusetts Institute of Technology1995

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

    mit Repository record

  15. The untrusted computer problem and camera based authentication using optical character recognition

    Kotwal, Thomas (Thomas Prabhakar Pramod), 1978-Massachusetts Institute of Technology2002

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.

    mit Repository record

  16. The Application of neural networks to character recognition based on primitive feature detection

    Pistacchio, Michael

    rit Repository record

  17. ACCURACY AND MULTI-CORE PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR HANDWRITTEN CHARACTER RECOGNITION

    Mohan, Sumod

    clemson Repository record

  18. Text-image Restoration And Text Alignment For Multi-engine Optical Character Recognition Systems

    Kozlovski, Nikolai

    … showed that combining three different optical character recognition (OCR) engines (ExperVision® OCR, Scansoft OCR, and Abbyy® OCR) results using voting algorithms will get higher accuracy rate than each of the engines individually. While a voting algorithm has been realized, several …

    ucf

  19. The influence of optical character recognition quality on the robustness of semantic encoding

    Jiang, MingUniversity of Illinois at Urbana-Champaign2022

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms

    uiuc Repository record

  20. The role of the Elementary Perceiver and Memorizer (EPAM) in optical character recognition (OCR)

    Radvar-Zanganeh, Siasb1994

    … objects of the EPAM model are defined as characters, and words of the English language are defined as the upper bound on the complexity of the objects. In this way the model is tested under: (1) One level of object complexity. (2) A large base of objects with a variable length feature set. …

    concordia Repository record

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