A Palmprint Identification System Using Robust Discriminant Orientation Code

Hoang, Van Thien
Le, Thai Hoang
This paper presents a palmprint recognition system in which we propose a novel acquisition device and a Robust Discriminant Orientation Code, called RDORIC, for palmprint identification. In order to get the clear line features, the device is designed to capture the palmprint images under Green illuminations. To extract RDORIC feature, we present the algorithm which includes two main steps: Palm line orientation map computation and Discriminant feature extraction of the orientation map. In the first step, positive rientation and negative orientation maps are computed by applying the modified finite Radon transform (MFRAT). In the second step, the grid-sampling based 2DLDA, called Grid-LDA, is used to remove redundant information of orientation maps and form a class-separable code more suitable for palmprint identification. The experimental results on the database of our lab and the public database of HongKong Polytechnic University (PolyU) show that our technique provides a very robust orientation representation for recognition and demonstrate the feasibility of the proposed system.
Chi tiết xin mời tham khảo tại http://repository.vnu.edu.vn/handle/VNU_123/56713
Title: A Palmprint Identification System Using Robust Discriminant Orientation Code
Authors: Hoang, Van Thien
Le, Thai Hoang
Keywords: Palmprint identification;Modified Finite Radon Transform;2DLDA;GridLDA;DORIR.
Issue Date: 2014
Publisher: ĐHQGHN
Series/Report no.: Vol. 30, No. 4 (2014);
Description: p. 1-13
URI: http://repository.vnu.edu.vn/handle/VNU_123/56713
ISSN: 0866-8612
Appears in Collections:Computer Science and Communication Engineering

Nhận xét

Bài đăng phổ biến từ blog này

Xây dựng quy trình định lượng flurbiprofen trong viên nénbao phim 100 mg bằng phương pháp sắc ký lỏng hiệu năng cao ghép đầu dò diode-array

BTEX pollution caused by motorcycles in the megacity of HoChiMinh

Cultural Differences: A Barrier to Native English Teachers in English as a Foreign Language Contexts