PDF-Efficient handwritten digit recognition based on histogram of oriented gradients and SVM

x2013 8887 Volume 104 x2013 No 9 October 2014 10 Efficient Handwritten Digit Recognition based on Histogram of Oriented Gradients and SVM Reza Ebrahimzadeh Islamic Azad University of Zahed. Rights Reserved Page | 85 Volume 2, Issue 5 , May 2012 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available Alternately Trained Relaxation Convolutional Neural Network Chunpeng Wu, Wei Fan, Yuan He, Jun Sun, Satoshi Naoi Fujitsu R&D Center, Co ., Ltd . Sep 1st, 2014 Copyright 2014 FUJITSU R&D CENTER CO., P. . Felzenszwalb. Generic object detection with deformable part-based models. Challenge: Generic object detection. Histograms of oriented gradients (HOG). Partition image into blocks at multiple scales and compute histogram of gradient orientations in each block. Testbed. Mengjie Mao. Overview. Cycle 1:. sequential. . component. AAM. training. Cycle 2:. sequential . components. Identifier 0. Ten perfect digit image for training. Randomly. generated digit images with defects for testing. :. 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. . Perceptron. Yang, . Luyu. Postal service for sorting mails by the postal code written on the envelop. Bank system for processing checks by reading the amount of money using computers. Motivation. Design . Kong Da, Xueyu Lei & Paul McKay. Digit Recognition. Convolutional Neural Network. Inspired by the visual cortex. Our example: Handwritten digit recognition. Reference: . LeCun. et al. . Back propagation Applied to Handwritten Zip Code Recognition. of handwritten . SignWriting for SWORD project. Fabrizio Borgia. 1,2. , Maria De Marsico. 2. 1. . Université Toulouse . III - Paul . Sabatier. 2. Sapienza Università di Roma. Outline. Introduction. 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.. Yahia. Saeed, . Jiwoong. Kim, Lewis Westfall, and Ning Yang. Seidenberg School of CSIS. Pace University, New York. Optical Character Recognition. Convert text into machine . processable. data. 1910s. Presented at:. International . Conference on Biomedical . Engineering (ICBME) 2013. by . R. Srivastava. 1. , X. Gao. 1. , F. Yin. 1. , D. Wong. 1. , J. Liu. 1. ,. C.Y. Cheung. 2. , T.Y. Wong. 2. Institute for Infocomm Research, Singapore. Jitendra. Malik. Handwritten digit recognition (MNIST,USPS). . LeCun’s. Convolutional Neural Networks variations (0.8%, 0.6% and 0.4% on MNIST). Tangent Distance(. Simard. , . LeCun. & . Denker. . Introduction. Eren Gultepe. Adapted from . Roger . Grosse. How . to . get . free. . GPUs. Colab . (Recommended) . Google . Colab . is . a . web-based . iPython . Notebook . service . that . has .