PPT-Text Detection and Character Recognition from Images

Badruz Nasrin Bin Basri 1051101534   Supervisor Mohd Haris Lye Abdullah 1 Contents Introduction 1 Literature review   2 Method Used   3 Experiment and Result 4 Future works. :. A Literature Survey. By:. W. Zhao, R. Chellappa, P.J. Phillips,. and A. Rosenfeld. Presented By:. Diego Velasquez. Contents . Introduction. Why do we need face recognition?. Biometrics. Face Recognition by Humans. R. K. Sharma. Thapar university, . patiala. . Handwriting Recognition System. The . technique by which a computer system can recognize characters and other symbols written by hand in natural handwriting is called handwriting recognition (HWR) system. . Ing. . Lukáš Neumann. Supervisor. : . Prof. Dr. Ing. Ji. ří. Matas. Problem Introduction. Input. : . Digital image . (BMP, JPG, PNG). / video (AVI). Output. : . Set of words in the image. . on Support . Vector . Machines. Saturnino. , Sergio et al.. Yunjia. Man. ECG . 782 Dr. Brendan. Outline. 1. Introduction. 2. Detection and recognition system. Segmentation. Shape classification. Qurat-ul-Ain. (. Ainie. ) Akram. Sarmad Hussain. Center for language Engineering. Al-. Khawarizmi. Institute of Computer Science. University of Engineering and Technology, Lahore, Pakistan. Lecture . . USING MODIFIED GENERALISED HOUGH TRANSFORM. Samara National Research . University. Image Processing Systems Institute - Branch of the Federal Scientific Research Centre “Crystallography and Photonics” of Russian Academy of Sciences. 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. By: Shane Serafin. What is handwriting recognition. History . Different types. Uses. Advantages. Disadvantages. Conclusion. Questions. Sources. Overview. Definition. : The ability of a computer to receive and interpret handwritten input from sources such as paper documents, photographs, touch-screens, and other devices and turning it into a digitized form.. Juxtaposition. noun. noun: . juxtaposition. ; plural noun: . juxtapositions. the fact of two things being seen or placed close together with contrasting effect.. noun. noun: . meme. ; plural noun: . memes. About Your Presenter. Presenting today:. Juan Worle. Technical Training . Coordinator. Microscan Corporate Headquarters Renton, WA. Course . Objectives. By completing this webinar you will:. Understand definition of OCR . A strong character analysis will. :. identify . the type of character it is dealing. With. describe . the . character. discuss . the conflict in the story, particularly. in regards to the character’s place in it.. Character. Character. is any personage in a literary work who acts, appears, or is referred to as playing a part. . Types of Characters:. Round and Flat. Round characters . are characters that act from varied, often conflicting motives, impulses, and desires. . Anton Wilhelm. Ranjini. . Aravind. Progress so far. Images of golf balls taken . Different light intensity. Different height. Different angles. Implementing ball recognition using . openCV. Implementing line recognition using . Fig.1: Retinal image Different techniques are given in literature for macula detection. In [6], macula is detected using morphological properties of eye. [7] Presents the methodology to detect macula