*(CLOSED SOURCE: Pl. do not mail with requests for code). This tool provides a graphical user interface for fingerprint recognition. The tool enables visualization of matched minutiae. It also allows the user to identify new matched pairs or remove false correspondences. The windows setup program and sample data can be downloaded from here. The feature extraction code was contributed by Chaohang Wu (formerly at UB)
*CLOSED SOURCE (Pl. do not mail with request for code)* This tool provides a graphical user interface for minutiae feature extraction and visualization. It also allows the user to manually identify new minutiae or remove spurious ones. This tools was used by us to evaluate the efficiency of different feature extractors.The windows setup program and sample data can be downloaded from
This is a CUDA implementation of the reference matlab code. It is designed to run on Nvidia graphic cards. The API parallels the matlab code very closely.
Implements the algorithm explained in Sharat Chikkerur, A. N. Cartwright and V. Govindaraju, "K-plet and CBFS: A Graph based Fingerprint Representation and Matching Algorithm", ICB 2006.
This code provides both legible and flexible way to implement a feature hierarchy. The code provides generic "S" and "C" layer implementation that can be stacked up to create arbitrary hierarchy.
Optical character recognition: This was my undergraduate project and implements a simple wavelet feature based character recognition. You can find the windows binaries
Speaker ID using MFCC features : This is the source code and report for my machine learning class project at MIT. The source code implements MFCC and VQ/GMM based speaker identification system. Also provides an option to learn optimal number of cluster centers based on Bayesian Information Criterion. The matlab source code can be downloaded from here. The zip file also contains the project report that you may find helpful
