PPT-Optical Character Recognition
Author : aaron | Published Date : 2017-07-30
QuratulAin Ainie Akram Sarmad Hussain Center for language Engineering Al Khawarizmi Institute of Computer Science University of Engineering and Technology Lahore
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Optical Character Recognition" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Optical Character Recognition: Transcript
QuratulAin Ainie Akram Sarmad Hussain Center for language Engineering Al Khawarizmi Institute of Computer Science University of Engineering and Technology Lahore Pakistan Lecture . The process of OCR involves several steps including segmentation feature extraction and classification Each of these steps is a field unto itself and is described briefly here in the context of a Matlab implementation of OCR One example of OCR is sh However unlike electrical current that 64258ows through a metal strip according to Ohms law optical waves travel in the waveguide in distinct opti cal modes A mode in this sense is a spatial distribution of optical energy in one or more dimensions t AUTO3160 - Optics and Spectroscopy. Spring 2012 . Miguel Angel Chourio. Master’s degree in Telecommunication Engineering . University of Vaasa, Finland . What is a Optical Fiber . Single . Mode. . H. Park. , M. Lu, E. Bloch, T. Reed, Z. Griffith, L. Johansson, L. . Coldren. , and M. . Rodwell. University of California at Santa Barbara. Introductions. Motivations . Higher Spectral Efficiency – QPSK / multi-level QAMs. Communication Infrastructure for Next-Generation . Telehealth. . Arshad. . Chowdhury. , Hung-Chang . Chien. , . Sourabh. . Khire. , . Shu-Hao. Fan, . Nikil. . Jayant. and Gee-Kung Chang. Georgia Tech Broadband Institute. Tybalt. is angry and hot-blooded. His foil is . Benvolio. who is thoughtful and peaceful. . “TYBALT: What, art thou drawn among these heartless hinds?... BENVOLIO: I do but keep the peace” (I, . Technical Advances Towards Terabit Networking. Geoff Bennett. Director, Solutions & Technology. C. oined by Andrew Schmitt from . Infonetics. Describes the . transformation. (as opposed to evolution) of optical transport networks in response to an exponential growth in demand. keypoint. tracking. Many slides adapted from S. Seitz, R. Szeliski, M. Pollefeys. Motion is a powerful perceptual cue. Sometimes, it is the only cue. Motion is a powerful perceptual cue. Even “impoverished” motion data can evoke a strong percept. Longwave. High. Clouds. Shortwave. High. Clouds. Shortwave. Low. Clouds. . . Δ. Optical Depth: -4 %. Δ Total Cloud Frac.: -0.50 %. . . Δ CTP: -8.30 hPa. . . Δ. Optical Depth: 2.0 % K. -1. 14. CO. 2. ) at and below ambient levels. D. A. Long, . A. J. Fleisher, Q. Liu, and J. T. Hodges. National Institute of Standards and Technology. Gaithersburg, Maryland. HDR Architecture, Inc.. Long-lived isotope of carbon (half-life 5,730 years). What are optical illusions?. An experience of seeming to see something that does not exist or that is other than it appears. An experience of seeming to see something that does not exist or that is other than it appears. 2. Question to Consider. What are the key challenges police officers face when dealing with persons in behavioral crisis?. 3. Recognizing a. Person in Crisis. Crisis Recognition. 4. Behavioral Crisis: A Definition. Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. NAME: . PAVITHRA J. DESIGNATION: . ASSISTANT PROFESSOR. SUBJECT CODE: . 18PHY12. OPTICAL FIBERS. CONTENTS. Introduction. Principle. Types of Optical Fibers. Applications. Conclusions. Fiber-optic communication is a method of transmitting information from one place to another by sending pulses of light through an optical fiber..
Download Document
Here is the link to download the presentation.
"Optical Character Recognition"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents