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. Navneet. . Dalal. and Bill . Triggs. CVPR 2005. Another Descriptor. Overview. 1. Compute gradients in the region to be described. 2. Put them in bins according to orientation. 3. Group the cells into large blocks. Active Learning for. Hyperspectral Image Classification. School of Civil Engineering, Purdue University. and. Laboratory for Applications of Remote Sensing. Email: . {wdi@purdue.edu. 1. , . mcrawford. 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 . Tomer. . Meshorer. Agenda. This presentation describes the use of speech recognition for:. . HCI . for spastic . dysarthria. patients . [M. Hasegawa-Johnson]. Identify progression of . P. arkinson disease using speech signal[A. Image Enhancement: Histogram Based Methods. · . The histogram of a digital image with gray values. is the discrete function. n. k. : Number of pixels with gray value . r. k. n. : total Number of pixels in the image. Steve Branson . Oscar . Beijbom. . Serge . Belongie. CVPR 2013, Portland, Oregon. . UC San Diego. . UC San Diego. . Caltech. Overview. Structured prediction . Learning from larger datasets. Week 10 . Presented by Christina Peterson. Movement Exemplar-SVMs . Tran and . Torresani. [1] based the MEX-SVM on the work of . Malisiewicz. . et. al. . [2]. Linear SVMs applied to histograms of space-time interest points (STIPs) calculated from . Mark. 0 –20. 20 –30. 30 –35. 35 –45. 45 –55. 55 –70. Frequency. 9. 12. 20. 29. 27. 23. Example. . The distribution below represents the examination marks of 120 students.. Draw a histogram to represent the data. Problems and Solutions. Classifying based . on similarities. :. 2. Van Gogh. Or. Monet. ?. Van Gogh. Monet. the Similarity-based Classification Problem. 3. (painter). (paintings). the Similarity-based Classification Problem. Ifeoma. Nwogu. i. on. @. cs.rit.edu. Lecture . 13 . – . Classifiers for images. Schedule. Last class . RANSAC and robust line fitting. Today. Review mid-term. Start classifiers. Readings for today: . Pick a 2-digit number from the 100 square.. . How many tens are in 47?. . How many ones are in 47?. . Learning Intention :To know that a 2-digit number is made out of 10s and 1s . Pick a 2-digit number from the 100 square.. 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.