Fingerprint recognition engine for Java that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.
-
Updated
Nov 13, 2023 - Java
Fingerprint recognition engine for Java that takes a pair of human fingerprint images and returns their similarity score. Supports efficient 1:N search.
Android app analysis and feature extraction library
Learning Based Java (LBJava)
turn bert pretrain checkpoint into saved model for a feature extracting demo in java
Landmark based audio fingerprinting
Visualizations of biometric features in fingerprint templates produced by SourceAFIS and in algorithm transparency data captured during feature extraction and matching in SourceAFIS.
KiloGram algorithm for finding the top-k most frequent n-grams for large values of n quickly with fixed memory.
Project for Multimedia Information Management course
TextureClassification using Naive Bayes and GLCM for feature extraction
Gray-Level Co-Occurrence Matrix Feature Extraction
Parsers for algorithm transparency data from SourceAFIS fingerprint recognition algorithm.
Command-line interface to SourceAFIS for Java. Measures accuracy, footprint, and speed. Checks consistency with other SourceAFIS ports.
Android app for recognizing yes/no speech using MLP neural network
[DONE] CFT Extractor version to work with SurfExtractor
A tool for extraction of lexical features from text based on UIMA and MapReduce
Lucene Image Retrieval (LIRe) code to extract Open Access Series of Imaging Studies (OASIS) features.
[DEPRECATED] Extracts Color, Form and Texture features from images and output them as .arff files for WEKA.
🎁 Three classic datasets are provided for learning and practice, aiming to understand and be familiar with ML algorithms and data mining in the field of feature extraction and data classification through different methods in Weka.
Increasing the efficiency of Naïve Bayes model in NLP for Sentiment Analysis. B.Tech Final Year Project
Add a description, image, and links to the feature-extraction topic page so that developers can more easily learn about it.
To associate your repository with the feature-extraction topic, visit your repo's landing page and select "manage topics."