OCR mobile character recognition: interface use and test apps

New mobile OCR function:

We have the ability to decrypt characters and barcodes from a single shot, from a document. We want to share its powerful results with you through a test OCR application.

Mobile OCR markets and applications:

• Police : Quick reading of car license plates,
• Security: reading of identity cards (CNI), passports, vehicle registration documents, etc.
• data attachment of systems (ERP, WMS) to each other: additional entries on a customer order such as picking, management of time spent, supplier order reception, etc.
• Trade Shows : fast badge reading, without barcode,
• Commerce, Ticket/Invoice: Extraction of accounting information from payment receipts that can be started in receipt format,
• Bank: GIB/IBAN: don’t waste any more time entering the information of a GIB, or checking the identity of the account owner, the OCR automatically retrieves all this information.

Test the OCR on your Android phone

We have developed for you an OCR test application for Android.
The application takes a photo, analyses the characters in this photo and returns the content to you.
The screens of the attached demo application :
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Installation: select the Android part of the tutorial How to install our KX-Mobile range applications.

The principles and possibilities of single-field and multi-field OCR read on smartphone

The question to be answered is: is it possible to read characters and if so under what conditions, at what speed and what are the limits of integration in our customised software or application generators on smartphones / ruggedized terminals?

In short : yes we can read and decode characters, on smartphone or Androïd mobile hardened terminal.

The objective here is to say what we can or cannot do, the "how" is done in training or development.

Simple case: reading a character model

Example: read 8 characters on 1 line, or read 4 numbers on the first line and 8 on the second, and barcodes (1D and 2D).
Condition: The font of the printed characters is OCR-A or OCR-B, numbers or letters

.

The answer: we can read these characters without any special licence added on a range of our mobile terminals, after setting the parameters and using the "wedge" mode in our programmes.
The scanning speed is: fast, the maximum distance: approx. 20cm made after an imager.
So applications in proximity, on standard characters, on sheet or label can be created.
So we can say that the following types of mobile applications can be used to capture these types of data:

• Customised Productivix applications,
• this app : Scanning of item consumption on order, OCR inter system link

NB: none of the French identity papers use OCR-A or B

Complex case: reading a form according to a model

The purpose is to read several typed fields or checkboxes, store a signature on an already printed form provided.

A range of terminals offers a manufacturer’s licence in order to define form models in which fields to be captured, decoded (checkbox, typed field) or stored as an image are defined. (signature).

This case is carried out in a slow way (centering in the lens of the A4 form), by the camera. The licence recognises the model and decodes according to the instructions, offers decoding to the user who corrects manually. The data is then sent to the calling application.

Intermediate case: reading several barcodes on a label (e.g. Galia)
(and without OCR)

Our two ranges of terminals can do this but differently.
One by continuous scanning of the label by the imager’s wedge, the codes must have a distinctive format such as a different letter at the beginning of the code.

The other by a single scan with manufacturer’s licence and predefined model as above but by the imager (very fast).

Conclusion on complex readings:
Our technical teams are constantly looking for the simplest ways to enable you to read complex cases automatically and quickly on the move.

Particularity
requests that GMS , "Google Play services" be installed, which is not the case for all machines on the market.