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Tommyhuy1705/Deep_Learning-Based_Signature_Forgery_Detection_for_Personal_Identity_Authentication

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This research presents a deep learning-based framework for offline signature forgery detection that integrates automated signature localization using YOLOv10, feature extraction with ResNet-34, and an adaptive meta-learning mechanism through a MetricGenerator network. The model dynamically generates user-specific Mahalanobis distance metrics.

active 2025-04-252025-12-28 (UTC)

Complete coverage26,523 / 26,523 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
155
Pushes
95
Pull requests
34
Issues
0
Stars
0
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 248 days from 2025-04-25 to 2025-12-28. Pushes: 95 total, peak 13 in a day. Pull requests: 34 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 3 total, peak 3 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
Tommyhuy17054931132
trongjhuongwr403370
Sura36072714111
DDDm312930
ThienNguyen30018800

Recent activity

Latest issues, pull requests and releases

  • Pull request#25trongjhuongwr2025-12-28 04:11
  • Pull request#22trongjhuongwr2025-12-26 10:43
  • Pull request#22trongjhuongwr2025-12-26 10:42
  • Pull request#21trongjhuongwr2025-12-26 09:22
  • Pull request#20trongjhuongwr2025-12-24 10:23
  • Pull request#19Tommyhuy17052025-05-28 09:50
  • Pull request#19Tommyhuy17052025-05-28 09:50
  • Pull request#17trongjhuongwr2025-05-22 08:24
  • Pull request#16trongjhuongwr2025-05-21 16:20
  • Pull request#15Sura36072025-05-20 16:53
  • Pull request#14Tommyhuy17052025-05-15 16:49
  • Pull request#14Tommyhuy17052025-05-15 16:48
  • Pull request#13Sura36072025-05-14 11:00
  • Pull request#12Sura36072025-05-14 10:37
  • Pull request#11Tommyhuy17052025-05-14 05:17
  • Pull request#11Tommyhuy17052025-05-14 05:17
  • Pull request#10Tommyhuy17052025-05-12 14:34
  • Pull request#10Tommyhuy17052025-05-12 14:34
  • Pull request#9DDDm32025-05-07 09:10
  • Pull request#8DDDm32025-05-06 17:52
  • Pull request#8DDDm32025-05-06 17:52
  • Pull request#7Sura36072025-05-04 08:41
  • Pull request#7Sura36072025-05-04 08:40
  • Pull request#5Sura36072025-05-04 05:30
  • Pull request#6Sura36072025-05-04 05:26

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.