DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
||||||||
Issue |
Volume-6,Issue-7 ( Jul, 2019 ) | |||||||||
Paper Title |
Investigation of Sift and Surf Feature Extraction in Palm Print Verification System | |||||||||
Author Name |
Chandan Trivedi, Rohit Srivastava | |||||||||
Affilition |
Assistant Professor, Institute of Technology, Nirma University, Ahmedabad, India Assistant Professor, UPES, Dehradun, India | |||||||||
Pages |
55-58 | |||||||||
Abstract |
Palm print based biometric plans are developing in insurance frameworks due to higher exactness. In this paper, examination of highlight extraction in two modified methodologies for scale and revolution invariant intrigue include extractor and descriptor for instance SIFT and SURF in palm print confirmation is done. Filter and SURF is for the most part utilized in picture mosaic, design recognition, age recovery, and numerous different applications in PC vision. The SIFT distinguished increasingly number of highlights indicates as thought about the SURF and SIFT takes additional time than SURF for the coordinating two pictures. The SURF gave more noteworthy precision than the SIFT. Keywords - Palm Print, SURF, SIFT, Feature, Biometric | |||||||||
| View Paper | ||||||||||
