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