Revolutionizing Fingerprint Forensics: Regeneration and Gender Prediction with Gabor Filters, Otsu's Technique, and Deep Learning-Reference-Cited by-同舟云学术

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Revolutionizing Fingerprint Forensics: Regeneration and Gender Prediction with Gabor Filters, Otsu's Technique, and Deep Learning

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
language:
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Author:

Dommeti Dhiren¹,Nallapati Siva Ramakrishna¹,Kumar M. Lakshmana²,Sampath Patchigolla¹,K Amarendra³,Srinivas P V V S¹

Affiliation:

1. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,India

2. Koneru Lakshmaiah Education Foundation,Department of Electronics and Communication Engineering,India

3. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India,522502

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250459.pdf?arnumber=10250459

Reference16 articles.

1. Segmentation and classification models validation area mapping of peat lands as initial value of Fuzzy Kohonen Clustering Network

2. Image enhancement using the image sharpening, contrast enhancement, and Standard Median Filter (Noise Removal) with pixel-based and human visual system-based measurements

3. Fingerprint classification based on learned features;bhanu;Center for Res in Intelligent Syst,2005

4. Estimating the Impact of Fingerprint Image Enhancement Algorithms for Better Minutia Detection

5. Fingerprint image enhancement: algorithm and performance evaluation

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