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Deep learning for fingerprint identification is based on image features rather than traditional minutiae points. These features constitute feature vectors, through which we can compute the similarity between fingerprint images.
This study investigate the application mode and typical methods of deep learning technology in fingerprint identification, give the technical schemes based on ...
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In recent time, deep learning techniques are being used for fingerprint recognition with more accuracy and efficient results. Major difficulty which has been ...
This paper introduces an intelligent computational approach to automatically authenticate fingerprint for personal identification and verification.
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This study investigate the application mode and typical methods of deep learning technology in fingerprint identification.
Deep learning is effective in designing robust fingerprint classification methods. However, designing the architecture of a CNN model is a laborious and time- ...
This paper presents a systematic literature review and an insightful meta-data analysis of a decade applications of DL in AFRS.
Ridge recognition can also be handled by deep learning by which a system can learn fingerprint images and skeletons by fingerprints examiners, thereby ...
Oct 22, 2024 · This paper focuses on a deep learning method for fingerprint recognition. The described architecture uses a pre-processing phase in which grayscale images are ...
This study focuses on using deep learning techniques on two different stages of the automated fingerprint recognition pipeline: Fingerprint classification and ...