retaiba-rachid's Stars
LericDax/Signaturn
Signaturn is a Python application that groups and organizes scanned documents with signatures
wickywanka/Sign_Face_recog
Machine Learning model made by me and my colleagues for Signature and Facial Recognition which is helpful in Finance Sector considering the need of Security.
RishavRaj20/signature_recognition
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users wri…
SWAT-Handwritten-Recognition/DataScience
osmansefayuksel/Signature-Recognition-with-SiameseNetwork-and-CycleGAN
Signature Recognition with Siamese Network and CycleGAN
efecanxrd/Signature-Recognition
Signature recognition using template matching and correlation
hsinmin/HanSig
A large-scale offline Chinese handwritten signature dataset
diveshlunker/Signature-Recognition-Using-Python
A python page to recognize the signature using CV2 library and back propagation algorithm
EnzoSeason/signature_detection_app
A web application for signature detection.
rvitorgomes/signature-opencv
OpenCV Signature Detector
AzharRivaldi/Tanda-Tangan-Digital
Tanda Tangan Digital (Android)
omrawal/Signature-Matching
Application to detect the similarity of two signatures.
beyhangl/Signature_Recognition_DeepLearning
Signature recognition with Keras,Deep learning
EnzoSeason/signature_detection
A package for signature detection
ayushreal/Signature-recognition
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as “off-line”. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as “on-line”. Dynamic information usually consists of the following information:
amaljoseph/Signature-Verification_System_using_YOLOv5-and-CycleGAN
An end-to-end signature verification system to extract, clean and verify signatures in documents. Signatures are detected using YOLOv5. Noise is cleaned using a CycleGAN approach and verified. Keras / Tensorflow / PyTorch
gnbaron/signature-recognition
Verify the authenticity of handwritten signatures through digital image processing and neural networks. ✍️
HoShiMin/Sig
The most powerful and customizable binary pattern scanner
ahmetozlu/signature_extractor
A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.
retkowsky/yolov8
New YoloV8
retkowsky/Removing-background-using-Azure-Computer-Vision-4
Removing background with Azure Computer Vision 4
retkowsky/Image-Analysis-with-Azure-Computer-Vision-4.0-Captioning-and-Dense-Captioning
Image Analysis V4.0 Captioning and Dense Captioning
retkowsky/Image-Analysis-with-Azure-Computer-Vision-4.0
Image-Analysis-with-Azure-Computer-Vision-4.0
retkowsky/Azure-Computer-Vision-in-a-day-workshop
Azure Computer Vision 4 (March 2023 - Florence) workshop in a day
retkowsky/Samples
Jeux de données d'exemples pour le Machine Learning
retkowsky/sound-event-detection
Sound event detection
retkowsky/depth-estimation
Depth estimation with Python
retkowsky/tweepy
Twitter for Python!
retkowsky/audio_embeddings
Audio search using Azure Cognitive Search
retkowsky/video-search-azure
Video search using Azure Computer Vision 4 (Florence)