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sarandogou's starred repositories

HuaweiFaceLiveness

Open Source Face Liveness detection using Huawei ML Kit (Anti-Spoofing)

Language:JavaBSD-3-Clause1400

ultimateText-SDK

Realtime text detection and recognition in natural scene images (in the wild) using artificial-intelligence

AGPL-3.0300

ultimateAdas-SDK

Realtime Advanced driver-assistance systems (ADAS) Framework using artificial-intelligence

AGPL-3.0200

ANPR

Automatic Number Plate Recognition (ANPR) using deep learning

600

LicenseManager-SDK

Client SDK used to manage runtime licenses

Language:CBSD-3-Clause800

tesseractMRZ

Ready-to-use MRZ / MRTD (Machine-readable zone/travel documents) dataset and models for tesseract v4

BSD-3-Clause9100

tesseractMICR

Ready-to-use Magnetic ink character recognition (MICR E-13B & CMC-7) datasets and *.traineddata for tesseract v4 + evaluation app

Language:C++BSD-3-Clause2400

ultimateKYC-SDK

Know Your Customer (KYC) implementation using identity document OCR, face match, biometric liveness detection for Anti-Spoofing and much more

1000

compv

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

Language:C++GPL-3.019000

ultimateCreditCard-SDK

Bank credit card deep layout analysis, fields extraction and recognition/OCR (ScanToPay) using deep learning

Language:C++NOASSERTION9900

ultimateMICR-SDK

Bank check information extraction/OCR from Magnetic Ink Character Recognition [MICR] (E-13B & CMC-7) using deep learning

Language:C++NOASSERTION5100

ultimateMRZ-SDK

Machine-readable zone/travel document (MRZ / MRTD) detector and recognizer using deep learning

Language:C++NOASSERTION17600

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Multi-OS (Jetson, Android, Raspberry Pi, Linux, Windows) & Multi-Arch (ARM, x86).

Language:C++NOASSERTION61700

FaceLivenessDetection-SDK

3D Passive Face Liveness Detection (Anti-Spoofing) & Deepfake detection. A single image is needed to compute liveness score. 99,67% accuracy on our dataset and perfect scores on multiple public datasets (NUAA, CASIA FASD, MSU...).

Language:C++20300