To design a proper document management system for official documents and letters of IIT Patna with the feature of Optical Character Recognition to extract the relevant text,classify the letters according to the Name and Designation of the known faculty members (predefined) and upload the captured text and image to their respective directories. The objective also includes performing a search on the database of the complete extracted text and listing all the letters found by a unique search method.
The Optical Character Recognition that the app performs to the degree of high precision has been achieved by first performing a pre-processing of the captured image which applies the following filters on the image:
- Converting image to a complete greyscale(Black and white image)
- Increasing the brightness of the image
- Increasing the contrast of the image
And then by using Google’s open source text recognition VISION Application Programming interface(API) into the app. The app then saves the extracted text and its corresponding image on a local SSH server for which an open source library has been implemented within the app to perform all the SSH transactions. The file I/O related text transactions have been implemented on the SSH account by creating specific C++ files that perform the suitable I/O operation like appending text,copying files etc. The search functionality of the app has been innovatively executed by creating a text file that holds all the text that has been extracted so far (namely, “index.txt”) with no spaces and only alphanumeric characters with their proper tags. So, whenever a user asks for a certain search query, the executable C++ file searches for that particular word in “index.txt” and returns the tag name for the search.
The app has been successfully created with the expected functionalities and has been tested and analyzed over a wide range of data, for which it gave expected behaviour. The Github link for the source code is -https://github.com/vaibhav2000/MyStuff
