Skip to content

Jyothish-Kumar-S-D/AuthenTech-VISVAS

View on GitHub ↗Related repositories →

VIsual Signature Verification and Authentication System (VISVAS) employs a Siamese Neural Network to verify the authenticity of handwritten signatures. Processing visual input from signature images, it analyzes it's features to predict authenticity. VISVAS aims to enhance trust and security in signature-dependent transactions.

active 2024-11-06 → 2024-12-31 (UTC)

Complete coverage28,298 / 28,298 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-11-06 (UTC)
Events
6
Pushes
2
Pull requests
0
Issues
0
Stars
2
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 56 days from 2024-11-06 to 2024-12-31. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 2 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

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

ContributorContributionsPushesPRsComments
Jyothish-Kumar-S-D2200

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.