DocumentCode :
635543
Title :
Development of image enhancement algorithm for fingerprint images in TMS320C6416 DSK
Author :
Kumar, M. Senthil ; Nedumaran, D.
Author_Institution :
Dept. of Central Instrum., Univ. of Madras, Chennai, India
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
1
Lastpage :
6
Abstract :
Image enhancement is one of the pre-processing steps of fingerprint image processing, in which an image can be viewed with clear ridge and valley patterns. This paper presents a novel image enhancement method using Modified Histogram Equalization (MHE) based on the Adaptive Inverse Hyperbolic Tangent (AIHT) method. The algorithm was developed in the Texas Instruments CCS environment and implemented on the TMS320C6416 DSK. The proposed algorithm was tested in many high, low, and under contrast fingerprint images and the results obtained was found to have a better visual perception suitable for human interpretation or for implementation in the automated fingerprint identification system (AFIS).
Keywords :
digital signal processing chips; fingerprint identification; image enhancement; AFIS; AIHT; MHE; TMS320C6416 DSK; Texas Instruments CCS environment; adaptive inverse hyperbolic tangent method; automated fingerprint identification system; contrast fingerprint images; fingerprint image processing; human interpretation; image enhancement algorithm; modified histogram equalization; ridge patterns; valley patterns; visual perception; Biometrics (access control); Computational intelligence; Decision support systems; Handheld computers; AFIS; AIHT; Contrast enhancement; DSP; Fingerprints; MHE;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Biometrics and Identity Management (CIBIM), 2013 IEEE Workshop on
Conference_Location :
Singapore
ISSN :
2325-4300
Type :
conf
DOI :
10.1109/CIBIM.2013.6607906
Filename :
6607906
Link To Document :
بازگشت