https://github.com/victordibia/signver

Signature Verification
https://github.com/victordibia/signver

Last synced: 10 months ago
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Signature Verification

• Host: GitHub
• URL: https://github.com/victordibia/signver
• Owner: victordibia
• License: mit
• Created: 2021-07-14T04:06:05.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-03-02T07:44:37.000Z (over 4 years ago)
• Last Synced: 2025-04-05T12:42:11.199Z (about 1 year ago)
• Language: Jupyter Notebook
• Size: 78.3 MB
• Stars: 13
• Watchers: 2
• Forks: 6
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# SignVer [Alpha]: A library for Automatic Offline Signature Verification

> SignVer is in Alpha and under active development. There may be significant changes ahead.

![signver logo - a library for automatic signature verification](docs/images/logo.png)

SignVer applies modern deep learning techniques in addressing the task of offline signature verification -

given a pair (or pairs of) signatures, determine if they are produced by the same user (genuine signatures) or different users (potential forgeries). SignVer addresses this task by providing a set of modules that address subtasks required to implement signature verification in real world environments.

![signver architecture](docs/images/signature_pipeline.png)

## Signver Library Modules

### Detector

Returns a list of bounding boxes where signatures are located in an image.

```python

from signver.detector import Detector

detector = Detector()

detector.load(detector_model_path)

boxes, scores, classes, detections = detector.detect(img_tensor)

plot_np_array(annotated_image, plot_title="Document and Extracted Signatures")

```

![localizer](docs/images/localizer.png)

### Cleaner

Returns a list of cleaned signature images (removal of background lines and text), given a list of signature images

```python

# Get image crops

signatures = get_image_crops(img_tensor, boxes, scores,  threshold = 0.22 )

cleaned_sigs = cleaner.clean(np.array(signatures))

```

![cleaner](docs/images/cleaned.jpg)

### Extractor

Returns a list of vector representations, given a list of image tensors/np arrays

```python

from signver.extractor import MetricExtractor

extractor = MetricExtractor()

extractor.load(extractor_model_path)

features = extractor.extract(signature_list)

```

### Matcher

Returns a distance measure given a pair of signatures

```python

from signver.matcher import Matcher

matcher = Matcher()

matcher.cosine_distance(feat1,feat2)    # 0.5

matcher.verify(feat1, feat2)    # False

```