A Review on Face Recognition and Video Databases
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: Each And Every Face Databases Have Its Own Limitations And Description To Test The Performance Of Face Recognition Technique. Even Though, Current Machine Recognition Systems Have Approached To Certain Level Of Recognition Rate. Their Success Is Limited By The Conditions Imposed By Many Real Applications And Constraint Imposed On Databases Such As Recognition Of Faces Acquired In An Outdoor Environment With Changes Of Illumination And Or Poses Remains A Largely Unsolved Problem. In View Of These This Paper Discusses Most Of The Video Databases And Face Recognition Methods. The Performance Of The Existing Methods On Video Datasets, NRC-IIT Video Data Set , The Honda/UCSD Video Data Set ,Choke Point And Mcgill Face Dataset Are Studied, Compare Their Performance In Terms Of Recognition Rate And Conclusion Reveals Future Development Of The Work.
Authors and Affiliations
Sandeep Saxena , B Mohd Jabarullah , Dr. Mansaf Alam
Keywords
Related Articles
- EP ID EP112270
- DOI -
- Views 105
- Downloads 0
Mining Frequent Patterns on Object-Relational Data
Abstract : Data mining is viewed as an essential part of the process towards knowledge discovery. Through data mining process different kinds of patterns that is frequent pattern and others, are discovered, evaluated and...
Intent based Image Ranking for Web Search Reranking
Abstract: New approach is presented for reranking of the images. While searching images on the web to increase the accuracy of the image search result Image search reranking is used. Image search reranking is aneffective...
Handwritten Character Recognition Based on Zoning Using Euler Number for English Alphabets and Numerals
Abstract: Handwritten Character Recognition has been a challenging research domain due to its diverse applicable environment. Handwriting has always been and will possibly continue to be a means of communication. T...
Watermarking Relational Database Using Hindi Phonemes and Hill Cipher Technique
Abstract : Digital watermarking now-a-days become more and more important due to tremendous availability of digital data on internet. The use of databases in various internet base applications has increased tremend...
Improving Web Image Search Re-ranking
Nowadays, web-scale image search engines (e.g. Google Image Search, Microsoft Live Image Search) rely almost purely on surrounding text features. This leads to the ambiguous and noisy results. We propose an...