# QR Code Data Matrix Library

**URL:** <https://forums.openmv.io/t/qr-code-data-matrix-library/539>\
**Category:** OpenMV Boards\
**Created:** [January 4, 2018, 11:37am UTC](https://forums.openmv.io/t/qr-code-data-matrix-library/539 "2018-01-04T11:37:07Z")\
**Posts on this page:** 4\
**Page:** 1

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**Author:** ![marcus007](https://avatars.discourse-cdn.com/v4/letter/m/a3d4f5/32.png) [@marcus007](https://forums.openmv.io/u/marcus007)\
**Post date:** [January 4, 2018, 11:37am UTC](https://forums.openmv.io/t/qr-code-data-matrix-library/539/1 "2018-01-04T11:37:07Z")

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I am working on Qrcode & datamatrix with your openMV M7 board , I want to know which Library are you using for both 2-D codes

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**Author:** ![kwagyeman](https://yyz1.discourse-cdn.com/flex029/user_avatar/forums.openmv.io/kwagyeman/32/4_2.png) [@kwagyeman](https://forums.openmv.io/u/kwagyeman)\
**Post date:** [January 4, 2018, 4:09pm UTC](https://forums.openmv.io/t/qr-code-data-matrix-library/539/2 "2018-01-04T16:09:17Z")

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Quirc for QRCodes and LibDmtx for data matrix codes.

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**Author:** ![marcus007](https://avatars.discourse-cdn.com/v4/letter/m/a3d4f5/32.png) [@marcus007](https://forums.openmv.io/u/marcus007)\
**Post date:** [January 5, 2018, 3:51am UTC](https://forums.openmv.io/t/qr-code-data-matrix-library/539/3 "2018-01-05T03:51:42Z")

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Thanks a lot for information  
What about zbar & zxing are they faster than this or the one you are using are faster?

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**Author:** ![kwagyeman](https://yyz1.discourse-cdn.com/flex029/user_avatar/forums.openmv.io/kwagyeman/32/4_2.png) [@kwagyeman](https://forums.openmv.io/u/kwagyeman)\
**Post date:** [January 5, 2018, 4:07am UTC](https://forums.openmv.io/t/qr-code-data-matrix-library/539/4 "2018-01-05T04:07:31Z")

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Bar code detection is provided by zbar. It’s in there too.

Lib zxing is written is Java and not in C so we can’t use it.

Um, anyway, check the blog out for a post about what have have onboard. We basically have everything other than Aztec codes and PDF417.

If you want faster processing we’ll have that this year with the STM32H7. It will double the performance to be on par with the Raspberry PI zero.