VAE & Simple GAN for Signature Generation

Generating realistic synthetic signatures with a VAE and a GAN.

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Domain
Generative AI
Year
2024
Type
Research report — internal engineering work

This is internal engineering and R&D work, not a client project. It is published to show technical depth — the modelling, evaluation, and tooling behind the AI automation we build for clients. No client is associated with it.

An implementation of a Variational Autoencoder (VAE) and a Generative Adversarial Network (GAN) to generate realistic fake signatures. The VAE learns latent representations by encoding and reconstructing signatures; the GAN's generator creates new signatures from noise while a discriminator judges realism.

Tools & methods

  • PyTorch
  • VAE (encoder/decoder)
  • GAN (generator/discriminator)
Full technical report

Objectives

  • Learn meaningful latent representations of signatures with a VAE.
  • Generate convincing synthetic signatures with a GAN.
  • Improve robustness on a limited dataset via augmentation.

Process

  • Augment the dataset (rotation, horizontal flip, Gaussian noise) for diversity.
  • Train the VAE with combined reconstruction + KL-divergence loss.
  • Train the GAN with binary cross-entropy adversarial loss.
  • Evaluate via reconstruction loss and qualitative comparison to real signatures.

Results

  • VAE achieved low reconstruction loss; GAN produced high-quality, realistic signatures.
  • Generated samples retained distinctive features of the originals.

What we took from it

  • VAE structural understanding + GAN realism are complementary.
  • Augmentation meaningfully enriches small training sets.

From the report

  • Generated signature samples (1)
    Generated signature samples (1)
  • Generated signature samples (2)
    Generated signature samples (2)
  • Generated signature samples (3)
    Generated signature samples (3)
  • Generated signature samples (4)
    Generated signature samples (4)
  • Generated signature samples (5)
    Generated signature samples (5)

Filter by category

Every project and study. Showing 25 of 26.

Client engagements

  • OpenInterview marketing site shown on a laptop — upload a résumé to generate a shareable video profile
    Client engagement

    US-based HR technology startup · HR technology & recruitment

    OpenInterview

    OpenInterview is a video interview platform that turns a candidate résumé into a recruiter ready profile with a video introduction availability details and one shareable link. Barakode built the product from résumé parsing and video processing to public profiles and Stripe subscriptions.

    Delivered
    4 services
    Timeline
    August 2024 – November 2024
    • React.js
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    Platform launched and live at openinterview.me, serving job seekers internationally.

    View case study
  • Beyut Libya real-estate platform on a laptop — sign-in screen with the Add New Property wizard behind it
    Client engagement

    Real-estate marketplace operator · Real estate

    Beyut Libya

    Beyut Libya is a bilingual property marketplace for Libya. Buyers can find verified homes with live filters while agents manage their inventory through a secure admin panel. The platform supports residential and commercial property across the country.

    Delivered
    4 services
    Timeline
    October 2024 – January 2025
    • Next.js
    • React.js
    • Node.js
    • REST API
    • MySQL

    Platform live and operating nationwide at beyutlibya.com.

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    Growing tailoring & fashion-retail business · Tailoring & fashion retail

    Gman Stitching Platform

    A full-cycle tailoring and order-management platform: customers, measurements, orders, inventory, billing, and accounting in one system. It replaced a PHP/Laravel application that had become too slow to use and too brittle to change.

    Delivered
    3 services
    Timeline
    January 2023 – March 2023
    • React.js
    • Redux
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    • Node.js
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    Approximately 70% improvement in application response time after the rebuild.

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    Restaurant operations team · Hospitality & food service

    Barakah Accounts

    A restaurant ERP built to bring orders, stock, billing, reporting, and the day-to-day handover between front-of-house and back-office teams into one working system.

    Delivered
    3 services
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    • NestJS
    • PostgreSQL
    • Redis

    Live restaurant ERP available at app.barakahaccounts.com.

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  • Ophir Jewellery purchase orders screen
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    Jewellery business · Jewellery retail & operations

    Ophir Jewellery ERP

    An ERP for a jewellery operation that brings product records, stock, customer activity, order handling, and business reporting into one calmer working view.

    Delivered
    3 services
    Timeline
    Live product
    • NestJS
    • PostgreSQL
    • Redis

    Live jewellery ERP available at ophir.eaquirstech.com.

    View case study
  • Turner 10 sales workspace screen
    Client engagement

    Real-estate operations team · Real estate

    Turner 10 Real Estate ERP

    A real-estate ERP that gives the team one practical place to follow properties, enquiries, availability, client records, and the internal work that supports every deal.

    Delivered
    3 services
    Timeline
    Live product
    • NestJS
    • PostgreSQL
    • Redis

    Live real-estate ERP available at turner10.eaquirstech.com.

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  • HMS hospital management purchase returns workspace with settlement, credit note, replacement, and refund summaries
    Client engagement

    Hospital operations team · Healthcare administration

    HMS

    HMS brings hospital administration, patient services, billing, pharmacy, and procurement into one operational workspace. Teams can review daily work and follow supplier purchase returns from a clear shared interface.

    Delivered
    3 services
    Timeline
    Hospital project
    • NestJS
    • PostgreSQL
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    View case study

Engineering & AI R&D

This is internal and academic engineering work. Each study includes its full technical report.

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