Search Results for "java image processing library"

JSignPdf is a free, open-source Java application for signing PDF documents with digital certificates. It provides a graphical desktop interface for everyday users and a command-line mode for scripted and server-side workflows. Supported capabilities include PKCS#12 keystores, smartcards and hardware tokens (PKCS#11), Windows keystore integration, visible signatures with custom images and positioning, timestamp authority (TSA) support, OCSP/CRL revocation checks, certification signatures,...

User-friendly and proficient Java program to keep passwords in encrypted databases. High security standard and data safety measures. Storage of huge text documents and sets of images feasible. File format relies on "Password Safe" V3 files (Twofish-CBC). Compact cross-platform program with PORTABLE modus, ideal for USB sticks, Linux, Mac, etc. Requires Java JRE 1.8 or higher The Password Safe database library is available at project PWSLIB3. For license/usage questions visit the Wiki pages!

Composed of a Java steganographic library and GUI to use steganography. Primarily intended for research communities on security and steganography to implement new dissimulation and steganalysis algorithms. More information at www.hidereveal.org

The PKI Framework (PKIF) is a cross-platform library for performing PKIX-compliant certificate processing. It includes support for SCVP, OCSP, CMS and Timestamps. It uses Windows CAPI, NSS or Crypto++ for cryptographic services and hardware support.

This project provides a java implementation of the Captcha project ( see http://www.captcha.net ). A CAPTCHA is a program that can generate and grade tests that: -Most humans can pass. -Current computer programs can't pass.

ContraCaptcha is a Java-based libary for solving (image-based) captchas. It provides classes for image processing and character recognition. It also includes solvers for some of the popular captcha-systems in use DISCLAIMER: only for learning purpose (;

This tool will anonymize images by destroying the Photo Response Non Uniformity (PRNU) pattern. It can also remove or forge the PRNU patterns, without having a (negative) impact on the quality.