Efficient fingerprint features for gender recognition

• Published in: Multidimensional systems and signal processing Vol. 33; no. 1; pp. 81 - 97
• Main Authors: Jalali, Shima, Boostani, Reza, Mohammadi, Mokhtar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.03.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Biometric recognition systems; Circuits and Systems; Crime; Discrete cosine transform; Discrete Wavelet Transform; Electrical Engineering; Engineering; Feature extraction; Feature recognition; Fingerprints; Gender; Image quality; Image segmentation; Signal,Image and Speech Processing; Singular value decomposition; Thickness ratio; Wavelet transforms; Feature extraction; Fingerprint; Gender recognition; Entropy; Ridges

After a crime scene, accurate gender recognition by fingerprint analysis is vital for detectives because precise gender recognition highly limits the search space. For extracting high quality features from fingerprint images, each image should be preprocessed. The preprocessing stages include segmen...