PPT-Analysis of Classification Algorithms in Handwriting Pattern Recognition

Logan Helms Jon Daniele Problem The construction and implementation of computerized systems capable of classifying visual input with speed and accuracy comparable to that of the human brain has remained an open problem in computer science for over 40 years. using Convolutional Neural Network and Simple Logistic Classifier. Hurieh. . Khalajzadeh. Mohammad . Mansouri. Mohammad . Teshnehlab. Table of Contents. Convolutional Neural . Networks. Proposed CNN structure for face recognition. Originally from: Mr. . Syswerda. Forgery is the ACTION of altering or producing an object or information with the INTENT of deception.. Forgery often includes:. Signatures (on a check or other official document.). Documents as evidence. Document specialists are called to :. Verify. handwriting and signatures. Authenticate. documents. Characterize. papers, pigments, and inks. Restore. erased and obliterated handwriting. 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. . Originally from: Mr. . Syswerda. Forgery is the ACTION of altering or producing an object or information with the INTENT of deception.. Forgery often includes:. Signatures (on a check or other official document.). Or, Why Can’t I Read My Statistics Notes?. Overview. How Do We Read?. More specifically, how does the brain recognize letters?. Pattern Recognition. How does pattern recognition in the brain work?. Handwriting analysis. Handwriting analysis. Handwriting analysis. Handwriting analysis. Handwriting analysis. Handwriting analysis. Handwriting analysis. Graphology. One of the many “character reading” practices.. scikit. -learn. http://scikit-learn.org/stable/. scikit. -learn. Machine Learning in Python. Simple . and efficient tools for data mining and data analysis. Built . on . NumPy. , . SciPy. , and . matplotlib. 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.. Originally from: Mr. . Syswerda. Forgery is the ACTION of altering or producing an object or information with the INTENT of deception.. Forgery often includes:. Signatures (on a check or other official document.). BioMed. /Forensics. Video links. http://www.pbs.org/opb/historydetectives/technique/document-examination. /. . http://www.youtube.com/watch?v=qGknAMyxRPE. . 3. Handwriting Analysis . Document analysts examine and compare . Disorders. Richard J. Barohn, MD. Chair, Department of Neurology. Gertrude and Dewey Ziegler Professor of Neurology. University Distinguished Professor. Vice Chancellor for Research. University of Kansas Medical Center. Tuesday . 10. th. April . 2018 . Ricardo Graciani. , ICC . Universitat. de Barcelona. Daniel . C. á. mpora. ,. CERN/Universidad de . Sevilla. Possible line of Work. Develop new strategies for efficient pattern matching in High multiplicity environments:. Representation. Chumphol Bunkhumpornpat, Ph.D.. Department of Computer Science. Faculty of Science. Chiang Mai University. Learning Objectives. KDD Process. Know that patterns can be represented as. Vectors.