Fingerprint Based Person Identification and Verification
We did > fingerprint verification- by PCA feature extraction andTemplate Matching > fingerprint identification/ recognition- by LBP and LPQ feature extraction and Neural Network classification. Later we compared it with SVM.
Tietoa minusta
Having more than 10 years of experience in NLP, machine learning, image processing and computer vision I believe that I can do any task related to ML, deep learning and Data science. I have used almost all algorithms for ML like pca, lbp, lpq, hog, surf, sift etc for features extraction, KNN, decision trees, naïve bayes, random forests, svm, Neural Networks, BERT, Transformers, K-means for classification, clustering and predictive models. I have worked on different Python libraries and frameworks like Tensorflow, pandas, scikit learn,nltk, numpy matplotlib,scrapy, beautifulsoup etc I have used AWS for deploying different algorithms over web and used Flask for making rest Apis. I have also worked on many internet of things related projects in which I integrated machine learning models with iot. I have used node.js and Mqqt for iot related projects. I can make web, desktop and mobile applications related to these fields. In addition, specialized in data labeling and annotation, ensuring high-quality dataset preparation for AI training. I have extensive experience in annotating large volumes of data, including images, text, and videos, tailored to specific project requirements. Using the latest tools and techniques, I provide accurate and efficient data annotation services, supporting a wide range of AI applications. Just inbox your requirements and consider your work done!!
