Recognize DATABAR BarCode using Python

Scan BarCode Images via your Python applications without installing any other software.

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For a developer, who is trying to scan custom DATABAR barcode images via Python application, Aspose.Total for Python via .NET API can help to automate the barcode reading and recognition process in any color or size according to business needs. It’s a full package of various APIs dealing different formats as well as 1D, 2D and Postal barcodes. Aspose.BarCode for Python via .NET API that is part of Aspose.Total for Python via .NET package makes this scanning process easy. Moreover, developers can adjust the parameters of the recognition engine to enable fast barcode scanning or improve reading accuracy.

How to Recognize DATABAR BarCode in Python

  • Use BarCodeReader class object with DecodeType.AllSupportedTypes as parameter
  • By calling read_bar_codes() to get all the DATABAR code
  • Iterate through all result to print it

Recognition Requirements

  • For DATABAR Barcode scanning, Python 3.5 or later is required
  • Reference APIs within the project directly from PyPI ( Aspose.BarCode )
  • Or Use the following pip commands pip install aspose-barcode-for-python-via-net
  • Moreover, Microsoft Windows or Linux based OS (see more for BarCode )
 

Recognize DATABAR Symbology BarCode in Python

 

Explore Barcode Scanner Options with Python

Scan AUSTRALIAPOST (Australia Post Code)
Scan AZTEC (Aztec 2D Barcode)
Scan CODE128 (Code 128)
Scan CODE16K (Code 16K Barcode)
Scan CODE32 (CODE 32 Barcode)
Scan CODE39 (Code 39 Standard)
Scan CODE93 (Code 93 Standard)
Scan CODEBLOCK (CodablockF Barcode)
Scan DATAMATRIX (Data Matrix Code)
Scan DATABAR (GS1 DataBar (Reduced Space Symbology))
Scan DATALOGIC2OF5 (Datalogic 2 of 5 Barcode)
Scan DEUTSCHEPOST (Deutsche Post Leitcode)
Scan DOTCODE (DotCode 2D Barcode)
Scan DUTCHKIX (Dutch KIX Barcode)
Scan EAN (European Article Number)
Scan IATA2OF5 (IATA 2 of 5 Barcode)
Scan INTERLEAVED2OF5 (Interleaved 2 of 5 Barcode)
Scan ISBN (International Standard Book Number)
Scan ISMN (International Standard Music Number)
Scan ISSN (International Standard Serial Number)
Scan ITALIANPOST25 (ItalianPost25 Code)
Scan ITF (Interleaved 2 of 5 (ITF))
Scan MATRIX2OF5 (Matrix 2 of 5 Barcode)
Scan ONECODE (USPS 4-State Customer Barcode)
Scan PDF417 (PDF417 Code)
Scan PLANET (PLANET)
Scan POSTNET (POSTNET)
Scan QR (Quick Response Code)
Scan RM4SCC (Royal Mail 4-State Customer Code)
Scan SINGAPOREPOST (Singapore Post QR Code)
Scan STANDARD2OF5 (Code 25 Interleaved)
Scan SWISSPOSTPARCEL (Swiss Post Parcel Code)
Scan UPC (UPC Code)

What is DATABAR Barcode?

Databar, formerly known as Reduced Space Symbology (RSS), is a type of linear barcode that was developed by GS1, the international organization responsible for standardizing barcode formats. The Databar barcode is a family of barcodes that includes several variations, such as Databar Expanded, Databar Limited, and Databar Stacked. One of the key advantages of the Databar barcode is its ability to encode large amounts of data in a relatively small amount of space. This makes it a popular choice for applications such as inventory management, couponing, and point-of-sale (POS) transactions. The Databar barcode is also capable of encoding variable length data, which means that it can accommodate different types and amounts of information depending on the specific application. It can encode numeric, alphabetic, and special characters, as well as data identifiers and application identifiers. In addition, the Databar barcode is designed to be easily read by a wide range of scanning devices, including handheld scanners and fixed-mounted scanners. This makes it a reliable and efficient technology for data capture and tracking. Overall, the Databar barcode is a flexible and versatile technology that is well-suited for a wide range of applications. Its ability to encode large amounts of data in a compact format, its variable length capability, and its ease of use and reliability make it a popular choice for many industries and applications.