Alpha-Detection Project

Team Name: Alpha.

Team members :

1. Basel Atalla.
2. Bayan Al-khateb.
3. Doa'a Obaidat
4. Sewar Maqableh

Our project:

Handwritten Text Recognition (HTR) system implemented with TensorFlow (TF) and trained on the IAM off-line HTR dataset. The model takes images of single words or text lines (multiple words) as input and outputs the recognized text.

Running the Application:

• Download Tesseract from Tesseract

• Open the project by PyCharm

• Add these packages :

  • OpenCv
  • Pillow
  • pytesseract
  • pyttsx3
  • time
  • textblob
  • playsound
  • random
  • gtts

• Run the program from PyCharm

Wireframe:

User Stories:

1. AS a user I want my hand written to be recognized by computer.

2. As a user I want to upload image of hand written paper so i can use it as txt or word document.

3. As a user I want to know correction probability of my hand text recognision.

4. As a user I want a to access the app using GUI.

5. As a user I want my recognised text to be in txt format.

Management Tools:

Trello

Software Requirements:

Vision:

our product for text converting from image to txt format. pain point: it will be vary helpfull for university students and for speach recognession.

Scope (In/Out):

• In:

  • the model will take an image of a single word and convert it to text.
  • the model will take an image of a single line and convert it to text.

• Out:

  • converted text of a word or single line.
  • correction Propability.

The MVP:

• text of recognised text for a word or an image.
• charecter error or correction Propability.

Data Flow:

the user has to provide an image of handwritten text to the app and the app will convert it to digital text and put it in text file.

project version:

version: 1.0.0

Resources

• Text Detection with open-cv Tutorial

• Handwriting Recognission Tutorial