Performance Evaluation of Fingerprint Identification Based on DCT and DWT using Multiple Matching
نویسندگان
چکیده
The fingerprint is a physiological trait used to identify a person. In this paper, Performance Evaluation of Fingerprint Identification based on DCT and DWT using Multiple Matching Techniques (FDDMM) is proposed. The fingerprint is segmented into four cells of each size 150*240. The DCT is applied on each cell. The Harr Wavelet is applied on DCT coefficient of each cell. The directional information features and centre area features are computed on LL sub band. The final Feature Vector is obtained by concatenating Directional Information and Centre Area Features. The matching techniques viz., ED, SVM, and RF are used to compare test image feature with database image features. It is observed that the values of TSR and FRR are better in the case of proposed algorithm compared to existing algorithm.
منابع مشابه
Fingerprint Matching Based on Dimension Reduced DCT Feature Vectors
In this work a Discrete Cosine Transform (DCT)-based feature dimensionality reduced approach for fingerprint matching is proposed. The DCT is applied on a small region around the core point of fingerprint image. The performance of our proposed method is evaluated on a small database of Bologna University and two large databases of FVC2000. A dimensionally reduced feature vector is formed using ...
متن کاملPalmprint Identification Based on Dwt, Dct and Qpca
An individual can be identified effectively using palmprints. In this paper we propose palmprint identification based on DWT, DCT and QPCA (PIDDQ). Histogram equalization is used on palmprint to enhance contrast of an image. The DWT is applied on Histogram equalized image to generate LL, LH, HL and HH bands. The LL band is converted into DCT coefficients using DCT. QPCA is applied on DCT coeffi...
متن کاملA Multiple Feature based Novel Approach for Identification of Printed Indian Scripts at Word Level
In a country like India where different scripts are in use, automatic identification of printed script facilitates many important applications such as automatic transcription of multilingual documents and for the selection of script specific OCR in a multilingual environment. In this paper a novel method to identify the script type of the collection of documents printed in seven Indian language...
متن کاملDark Image Enhancement using Dynamic Stochastic Resonance
In this paper, contrast enhancement of dark image using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients is proposed. Then the contrast enhancement is obtained by applying Dynamic Stochastic Resonance (DSR).The goal of dark image enhancement is to clearly visualize the features of the image. Two different coefficients DCTand DWT are used for implementing contras...
متن کاملA Comparative Analysis of Histogram Of Gradient (HOG), Gabor Filter Bank and DCT based Feature Extraction Methods used for Fingerprint Recognition
Fingerprint recognition is one of the most reliable and popular biometric methods used for person identification. It plays a very important role in forensic and civilian applications such as criminal identification, access control, and ATM card verification. The two major approaches used for fingerprint recognition are image based and minutiae based. The widely used minutiae based representatio...
متن کامل