Object & Optical Character Recognition Layout Analysis Engine Development


To develop a video / image Object & Optical Character Recognition Analysis Engine that can identify

from a still Image (Video captured image or Camera / Scanner or Fax captured Image) all the parts on

that image.

We need to utilize Machine Learning, Computer Vision and Deep Learning techniques along with

mathematical algorithms to optimize the detection of these on an image.

The identified objects and OCR text will be segmented using outline boxes and is called the Object/OCR

Layout Analysis Template (OCRLAT).

The OCRLAT creates an image with overlay outline boxes that can be edited and stretched to fit the

detected type and / or changed to a different type than our engine detected.

These outline boxes can also be split and / or removed from identifying and / or displaying in Output

Forms Image specific areas and / or minimize showing specific data when Object/OCR completed and

output data is pre-populated in purposely setup Data display Forms

Once the OCRLAT is used to scan the areas and the Data is provided as Output exporting the data to an

ODBC format, it will enable the user to:

• Download the data as a CSV file or other ODBC compliant format

• Download images as multimedia files

• View Images and Text output in a Form layout.

Whilst the download is quite self-explanatory, the Form layout needs some explanation.

Basically the output ODBC compliant text and image data can be recalled via a specifically laid out form

we call the Output Layout Form template (OUTLFT)

This Layout Form Template:

• is initially auto generated from the creation based on the layout detected in OCRLAT creation

• can be edited re-arranging text and object cells using Drag and Drop editor and even editing text

and images and this new layout prompts user to confirm to save to a New Form or overwrite

existing (or default) Form

• can manage any Text or Image changes on a Form can also update the ODBC Database file or

create a new ODBC file to update data, to enable a later Database compare changes

• Any OUTFLT can also be linked to >1 OCRLAT template e.g. Multiple Passports need different

OCR LAT Templates but output has many common fields such as name, passport number Date of

Birth, face picture, expiry date and any VISAs in the Passport

• Any edited text in Forms can update ODBC database and/or create new ODBC database

Once Form is linked to the OCR Layout Analysis Form, it is tested, output is checked and any tweaks are optimized.

Lastly the OCR Capture template (OCRLAT) and Form(s) are linked and uploaded as templates to the

Object/OCR mobile and windows apps

Skills: Algorithm, OCR, Python

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About the Employer:
( 0 reviews ) Estonia

Project ID: #16936766

24 freelancers are bidding on average $30818 for this job


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$30000 USD in 30 days
(32 Reviews)

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(41 Reviews)

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(66 Reviews)

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(28 Reviews)

Hello, I can help with you in your project Object & Optical Character Recognition Layout Analysis Engine Development. I have more than 5 years of experience in Algorithm, OCR, Python. We have worked on several simil More

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(30 Reviews)

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(19 Reviews)

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Hi This project can be split into several parts. Each one includes some Computer vision, machine learning or neural network components. Let me count them here. 1) object detection and isolation. For example detec More

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(5 Reviews)

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Got an excellent team and my team has 7 years of experience into C/C++ & OpenCV,OCR using Tesseract & Deep Learning using Keras. Can very well execute this Project as we have already done something of this sort. We ha More

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(6 Reviews)

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