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Chang-Ho Hwang's Projects

hexed icon hexed

Windows console-based hex editor

hface icon hface

Face Detection using Hadoop Map Reduce and OpenCV

hidapi icon hidapi

A Simple library for communicating with USB and Bluetooth HID devices on Linux, Mac and Windows.

hidblinker icon hidblinker

Sample library and example application template using USB HID class and LIBUSB-1.0

hidden icon hidden

Windows driver with usermode interface which can hide objects of file-system and registry, protect processes and etc

hideprocesshook icon hideprocesshook

DLL that hooks the NtQuerySystemInformation API and hides a process name

hidguardian icon hidguardian

Windows kernel-mode driver for controlling access to various input devices.

hidlibrary icon hidlibrary

This library enables you to enumerate and communicate with Hid compatible USB devices in .NET.

hijacken icon hijacken

Use it for analysis and attack windows application using dll hijacking vulnerabilities

hms-av-pipeline-demo icon hms-av-pipeline-demo

HUAWEI AV Pipeline Kit sample code project, which contains the Java sample code to implement functions like video playback, video super-resolution and media asset management. C++ sample code is contained for calling MediaFilter to use the sound event detection plugin.

hocr-tools icon hocr-tools

Tools for manipulating and evaluating the hOCR format for representing multi-lingual OCR results by embedding them into HTML.

hollows_hunter icon hollows_hunter

Scans all running processes. Recognizes and dumps a variety of potentially malicious implants (replaced/implanted PEs, shellcodes, hooks, in-memory patches).

home-warning-security-system-for-blind-people-using-face-detection- icon home-warning-security-system-for-blind-people-using-face-detection-

Home Security and Warning System using Face Recognition Abstract In this project we integrate HomeSecurity With Facial Recognition system.A face recognition system is one of the biometric information processes, its applicability is easier and working range is larger than others, i.e.; fingerprint, iris scanning, signature, etc. A face recognition system is designed, to identify the persons around you. The system uses a combination of techniques in two topics; face detection and recognition. The face detection is performed on live acquired images without any application field in mind. Processes utilized in the system are white balance corrections, skin like region segmentation, facial feature extraction and face image extraction on a face candidate. Then a face classification method that uses haarcascade is integrated in the system. The system is tested with a database generated in the with 30 people. The tested system has acceptable performance to recognize faces within intended limits and gives the feedback to raspberry pi for further actions to be performed based on input. The system basically acts like a surveillance body for a house keeping an eye on buglers and unusual activity at the house.

homeworld icon homeworld

Gardens of Kadesh: A WebAssembly port of Homeworld.

hook icon hook

Lightweight API hooking framework for the Windows API

https-example icon https-example

An example https client and server using OpenSSL and libevent, for the purpose of discussing some issues that came up on the libevent mailing list. This was just a one-off that I'm not maintaining, but I'm happy to accept pull requests.

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