pHash is an implementation of various perceptual hashing algorithms. A perceptual hash is a fingerprint of an audio, video, or image file that is mathematically based on the audio or visual content contained within. Unlike cryptographic hash functions that rely on the avalanche effect of small changes in input leading to drastic changes in the output, perceptual hashes are "close" to one another if the inputs are visually or auditorily similar. As a result, perceptual hashes must also be robust enough to take into account transformations that could have been performed on the input.
This project features a complete JPEG Hardware Compressor (standard Baseline DCT, JFIF header) with 2:1:1 subsampling, able to compress at a rate of up to 24 images per second (on XC2V1000-4 @ 40 MHz with resolution 352x288).
Image resolution is not limited. It takes an RGB input (row-wise) and outputs to a memory the compressed JPEG image. Its quality is comparable to software solutions.
Face Recognition Library
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Advanced face recognition DLL using two functions : Train and Recognize. Uses neural net back propogation alogorithm with more AI tools added for imaging optimization. Library works great even for a low resolution web cam image and requires the user to align to a mirror frame on screen. Complete Source Code with Video capture and feature extraction kit for Registered Users.
Please register here for only $299 with Source Code :
http://www.research-lab.com/facerecognitionorder.htm
(c) www.research-lab.com
eye matching using Circular hough transform for eyedetection and precise eyes location. it is a very good code that works on both grayscale and jpg image.
The philosophy of the book is to present various pattern recognition tasks in
a unified way, including image analysis, speech processing, and communication applications. Despite their differences, these areas do share common features and their study can only benefit from a unified approach.
Want to try a copy of Linux 2.6.29-rc5 in progess with Angstom and Opie? Opie probably isn t good for much but testing but it is kind of fun. This has a very slow boot, which is much improved since this NAND image was made.
NAND image of Linux 2.6.9-rc5 with Angstrom and Opie for test.
Download file.
Set to NOR and power on.
Install using the vivi command "Restore NAND Flash from HOST thru USB"
Turn off, set to NAND, turn on. Enjoy.
