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http://dx.doi.org/10.5392/JKCA.2017.17.12.281

Fingerprint Information Masking Algorithm By Using Multiple LBP Features  

Kim, Jin-Ho (경일대학교 전자공학과)
Publication Information
The Journal of the Korea Contents Association / v.17, no.12, 2017 , pp. 281-288 More about this Journal
Abstract
Financial service commission notified that fingerprint information of their documents should be deleted till 2019 to the financial industry and the public institution. Business solutions for fingerprint detection and masking in document images are introduced. In this paper, a fingerprint information masking algorithm is proposed by using the multiple LBP features to extract fingerprint's intrinsic characteristics for artificial neural network decision whether the candidate is a true fingerprint or not after segmentation of versatile fingerprint candidates from a document image. The experimental results of the proposed fingerprint masking algorithm for 3,497 document images that are saved in a financial industry show that 96.4% of fingerprint information is masked, hence this fingerprint masking algorithm can be used efficiently in real fingerprint masking tasks.
Keywords
Fingerprint Information; Fingerprint Masking; Fingerprint Information Masking; LBP Feature;
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