Author:
Irina Bakina
Affiliation:
Moscow State University, Russian Federation
Keyword(s):
Palm shape comparison, Flexible object, Alignment of palms, Person recognition, Combination of palm and voice features, Bimodal approach.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Image and Video Analysis
;
Image Shape Analysis
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
Abstract:
The article presents a new method for palm comparison based on the alignment of palm shapes. The proposed approach allows comparison and recognition of palms with sticking fingers. The existing methods do not work correctly in this case, while it frequently appears in real environments (mostly among elderly people). The idea of the proposed method is to model a ”posture” of test palm on reference palm. The form of flexible object is used for palm modeling. This representation provides a convenient tool for applying palm transformations and allows us to perform them in real-time mode. Low resolution webcams can be used for palm image acquisition. The article also introduces the application of person recognition based on the proposed comparison. At the end of the article the problem of improving recognition characteristics of palm is addressed. Particularly, it provides a bimodal approach that employs palm and voice features.