{"title":"Development of image enhancement algorithm for fingerprint images in TMS320C6416 DSK","authors":"M. S. Kumar, D. Nedumaran","doi":"10.1109/CIBIM.2013.6607906","DOIUrl":null,"url":null,"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).","PeriodicalId":286155,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","volume":"29 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIBIM.2013.6607906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
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).
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