Phone Reader Project Presenter: Marilyn Bihina Supervisor: James Connan 1.

Slides:



Advertisements
Similar presentations
By: Hossein and Hadi Shayesteh Supervisor: Mr J.Connan.
Advertisements

Smartphone Apps Development Team Weiqing Li Lijun Zhu Man Li.
Compiled and Presented by KJ Tsiri Supervisor : Mr. Ismail.
Creating Accessible Word Documents by Debbie Lyn Jones, IT Manager I, NSU Webmaster FRIDAY, JANUARY 23, 2015.
OCRdroid : A Framework to Digitize Text Using Mobile Phones  Authors  Mi Zhang, Anand Joshi, Ritesh Kadmawala, Karthik Dantu, Sameera Poduri, and Gaurav.
Seminar Projects Dong Xuan Associate Professor CSE Dept., The Ohio State University.
Presentation Outline  Project Aims  Introduction of Digital Video Library  Introduction of Our Work  Considerations and Approach  Design and Implementation.
IRead Team Members: Matt Cardin, Paul Kennedy, Oscar Perez.
1 Location Based File Exchange Controlled By Speech (LBFE-S) Final Project (Master Thesis) By Mohammed Marouf Supervisors John A. Sørensen.
WELCOME PROJECT GROUP MEMBERS  Orhan AKSOY  Rıdvan ÇELEBİ  Ulan BAYALİYEV  Mustafa BAL  Mehmet BIÇAK.
SUDOKU PUZZLE EXTRACTION PROJECT BY: BORIS SPEKTOR.
Evaluating the use of OCR on a Mobile Device Presented by : Hamed Alharbi Supervisor by :Dr Brett Wilkinson.
1 Responsive Web Design for Universal Access Image: Kate Walser CX Insights
By: Hossein and Hadi Shayesteh Supervisor: Mr. James Connan.
Communication Technology of the Deaf. Technology has been used throughout the years to bridge the communication gap between those that can hear and those.
Assistive Technology Ability to be free. Quick Facts  Assistive technology is technology used by individuals with disabilities in order to perform functions.
Microsoft PowerPoint 2010 Lesson 6: Working with Layouts and Graphics.
M. Taimoor Khan * Java Server Pages (JSP) is a server-side programming technology that enables the creation of dynamic,
By: Simon Kleinsmith Supervisor: Mr Mehrdad Ghaziasgar Co-supervisor: Mr James Connan.
Evaluating the use of OCR on a Mobile Device Presented by Hamed Alharbi Supervisor by Dr Brett Wilkinson.
Project : The phone reader Presenter: Marilyn Bihina Supervisor: James Connan 1.
Team 6: Faisal Moiz Raymond Nnodim Michael Woodruff Instructor: Dr. Bun Yue Mentor: Craig Russell – Tietronix Software 1 Capstone – Spring 2012 Android.
CapturaTalk4Android Demonstration Abi James
Anaglyph Videos Student:Jihaad Pienaar Supervisor: Mehrdad Ghaziasgar & James Connan Mentors: Roland Foster & Kenzo Abrahams.
By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co – supervisor: James Connan Assisted by: Ibraheem Frieslaar.
DATA COLLECTION METHODS CONTENT PAGE How data is collected via questionnaires. How data is collected via questionnaires. How data is collected with mark.
MOBILE MEDICAL INFORMATION FOR THE DEAF By: Siphokazi Dayile Supervisor: Prof I Venter Co-supervisor: Prof WD Tucker.
By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co - supervisor: James Connan Mentor: Ibraheem Frieslaar.
By: Hadley Scholtz Supervisor: Mehrdad Ghaziasgar Co - supervisor: James Connan Mentor: Ibraheem Frieslaar.
TOP TEN SMART PHONES OF 2013 By Brett Daniels. PICTURES OF THE TOP 10 SMART PHONES OF ) Htc one2) Iphone 5s 3) Motorola Moto G 4) LG-G2 5) Samsungalaxy.
Phone Reader Project Presenter: Marilyn Bihina Supervisor: James Connan.
1 Location Based File Exchange Controlled By Speech (LBFE-S) Final Project (Master Thesis) By Mohammed Marouf Supervisors John A. Sørenson.
Designing Speech Interfaces for Kiosks Max Van Kleek Buddhika Kottahachchi Tyler Horton Paul Cavallaro.
TRAVEL PLANNER Done by: Dania mohammad Abu Elown. Ruaa Tahseen Barakat. Supervisor: Dr. Raed Al-Qadi.
Kearan Mc Pherson Mr. J. Connan. Overview Introduction Design Decisions Implementation Project Plan Demo.
HTML5 Video Player For SharePoint HTML5 Background Why creating video player in HTML5 is easy? Can we do it without Javascript? Easy or Difficult?
Video notification for SignSupport Remind Deaf users when and how to take medication Student : Vuyisa Phindiso Supervisor : Prof. Bill Tucker.
Mobile AAC Application for Sentence Creation Team Members: Kevin Greene, Christina Fries, Wei Liao, Hien Huynh, Jiho Kim, Apoorva Dewangan Mentor: James.
Video notification for SignSupport Remind Deaf users when and how to take medication Student : Vuyisa Phindiso Supervisor : Prof. Bill Tucker.
Dr. István Marosi Scansoft-Recognita, Inc., Hungary SSIP 2005, Szeged Character Recognition Internals.
By: Hossein and Hadi Shayesteh Supervisor: Mr. James Connan.
Utkal University We Work On Image Processing Speech Processing Knowledge Management.
Video notification for SignSupport Remind Deaf users when and how to take medication Student : Vuyisa Phindiso Supervisor : Prof. Bill Tucker.
Mobile AAC Application for Sentence Creation Team Members: Kevin Greene, Christina Fries, Wei Liao, Hien Huynh, Jiho Kim, Apoorva Dewangan Mentor: James.
Kearan Mc Pherson Supervised by James Connan. Introduction Record ball bowled Track the ball Methods Interpret the results.
Display Page (HTML/CSS)
Eric Minner & James Pittman. Outline Project Statement / Motivation Concept overview Quick computer vision overview Demo Lessons Learned Future Work.
By: Hossein and Hadi Shayesteh Supervisor: Mr. James Connan.
Student: Thabang Kgwefane Supervisor: James Connan.
ALT Tags are invisible descriptions of images which are read aloud to blind users on a screen reader or are used if someone has images turned off on their.
Helpinbuy.com as the name suggests, helps you in acquire the phone you desire. It is established with the aim of providing ease to the buyers in making.
Anaglyph Videos Student:Jihaad Pienaar Supervisor: Mr Mehrdad Ghaziasgar Co-Supervisor:Mr James Connan Mentors: Mr Roland Foster & Mr Kenzo Abrahams.
Augmented Reality and 3D modelling Done by Stafford Joemat Supervised by Mr James Connan and Mehrdad Ghaziasgar.
Video notification for SignSupport Remind Deaf users when and how to take medication Student : Vuyisa Phindiso Supervisor : Prof. Bill Tucker.
Top 5 Smart phones of 2014 with their Features. You may be hear the term "smart phone".But have you ever desired to know “ What a smart phone is? ” And.
A Study of SNS App on Android Platform and Development of “Follow5 App” Name : Huang Xun Professor : Henry Cho Date :
Demonstrates how the concept functions or operates in the real world FUNCTION STRATEGY.
Outline  What is MySmartEye ?  Motivation, objectives.  Implementation.  Programming techniques.  Future Work.  Demo.
Designing Cross-Language Information Retrieval System using various Techniques of Query Expansion and Indexing for Improved Performance  Hello everyone,
WML & Web Service Adam Drewes
bReader – Blind can read now
Enterprise Java Bean. Overview of EJB View of EJB Conversation Roles in EJB, Types of Enterprise Beans Lifecycle of Beans Developing Applications using.
Optical Character Recognition
Logo: if available Project Name:
An Open-Source Based Speech Recognition Android Application for Helping Handicapped Students Writing Programs Tong Lai Yu, Santhrushna Gande.
SUSPICIOUS ACTIVITY DETECTION
Dr. István Marosi Recosoft Ltd., Hungary
Affiliations – Calibri, 18 pt
The best phone to buy.
2016 CSUN Accessibility Competition
Presentation transcript:

Phone Reader Project Presenter: Marilyn Bihina Supervisor: James Connan 1

Overview of the presentation Intro - Statement of the problem Description of the Phone Reader project Design of the system Implementation Demo Tests Future work Questions 2

Reading and understanding a text can be difficult for: Non-native speakers Dyslectics and blind people Illiterates The Phone Reader project aims to help users read and understand a text from a picture. Statement of the problem 3

Description of the Phone Reader project What is a phone reader? Photo of text converted to speech through a phone. 4

Design of the system 5

Implementation System specifications Operating system Ubuntu Android 2.1 Programming languages PHP 5.0 Java OpenJDK 6 Runtime HTTP serverLAMP server Processing softwareImagemagick OCR programTesseract OCR Translation programApertium DatabaseMySQL Smart phones HTC Desire C with Android 2.1 Samsung Galaxy Tab GT-P1000 with Android

Implementation Pre-processing methods used with Imagemagick: Crop Despeckle Grayscale Threshold Deskew Unsharp 7

Demo Video 1 Video 2 8

Tests

Tests with good picture quality Original ImageProcessed Image 10

Tesseract results from a good picture 11

Tests with bad picture 12

Tesseract results from not processed bad image 13

Bad quality processed image 14

Tesseract results from bad processed image 15

Future work Display special characters(é, ï, ç) in translated text Include a spell checker to improve the final text Allow more languages to be recognized and translated 16

Conclusion Main challenge: take a good picture!!!! 17

Questions ???????????? 18