Title :
Rotation invariant palmprint recognition: An overview and implementation
Author :
Yashodha, G. ; Bremananth, R.
Author_Institution :
Dept. of Comput. Applic., Sri Ramakrishna Eng. Coll., Coimbatore, India
Abstract :
Palmprint is one of the relatively new physiological biometrics due to its stable and unique characteristics. Palmprint based biometric approaches possess several advantages over others. Palmprint images can be acquired with low resolution cameras and scanners and still have enough information to achieve good recognition rates. Palm print verification System has been utilized for a long time and it was found that many research activities were carried out. This paper presents a description of state of techniques of palmprint recognition system along with a new method has been proposed for preprocessing combined with OTSU in order to improve the identification. The results obtained in this approach has further enhanced for rotation invariant palmprint recognition.
Keywords :
palmprint recognition; OTSU; palmprint verification system; physiological biometrics; rotation invariant palmprint recognition; Algorithm design and analysis; Feature extraction; Gabor filters; Histograms; Identification of persons; Image recognition; Pattern recognition; Binarization; Doorsilling; Feature Extraction; OTSU; Rotation Invariant;
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2012 International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-2319-2
DOI :
10.1109/MVIP.2012.6428781