Abstract: For a given pair of biological parents and a possible child, the present system(s), method(s), and/or software estimate whether the child is indeed a biological child of the biological parents. Using a face recognition engine to determine embeddings from facial images, genetic similarity expressed in facial features is used to estimate kinship. Knowing that a child carries 50% of the genes from each parent, for example, and using facial features from both parents, chances for the present system(s), method(s), and or software to determine a correct match are increased considerably compared to prior systems.

Abstract: The present disclosure relates generally to determining confidence scores for facial image based family relation (e.g., kinship) determinations. A confidence score of a previously unseen facial image (of an unknown individual) search result is determined without knowing the search result's ground truth, based on previously conducted tests of a dataset with a known ground truth, and using prediction results to infer the confidence of the previously unseen example.

Abstract: Identifying subjects based on correlated self and/or family relation (e.g., kinship) characteristics (e.g., fingerprints and/or voice) is described. A previously unseen image or scan or other representation(s) of a fingerprint and/or voice recording of an unknown subject may be used to identify the subject. The previously unseen images of the fingerprint and/or the voice recording may be compared to a database of images of other fingerprints and/or voice recordings. The database of images of other fingerprints and/or voice recordings may include images of other fingerprints and/or other voice recordings of the subject, and/or images of fingerprints and/or voice recordings of family members of the subject. The previously unseen images of the fingerprint and/or the voice recording are correlated with images of other fingerprints and/or voice recordings from the subject, and/or images of fingerprints and/or voice recordings of family members of the subject to identify the subject.

Abstract: The present disclosure relates generally to identifying subjects based on correlated family relation (e.g., kinship) characteristics. Using the present techniques, a facial photo of a subject, suspected to be a grown-up missing child, or any other person who may or may not have undergone changes in their appearance, is presented. Regular facial recognition systems cannot find the subject because the photo is not in any database (and because only family member photos may be in the database, and/or the photo may be a past photo of the subject in which the subject looks significantly different). With change-agnostic family matching, the facial photo of the subject is matched with the closest family signature(s), such that a relevant family or families may be identified. Possible family matches are presented in descending order where the closest families are presented first.

Abstract: Identifying subjects based on correlated self and/or family relation (e.g., kinship) characteristics (e.g., fingerprints and/or voice) is described. A previously unseen image or scan or other representation(s) of a fingerprint and/or voice recording of an unknown subject may be used to identify the subject. The previously unseen images of the fingerprint and/or the voice recording may be compared to a database of images of other fingerprints and/or voice recordings. The database of images of other fingerprints and/or voice recordings may include images of other fingerprints and/or other voice recordings of the subject, and/or images of fingerprints and/or voice recordings of family members of the subject. The previously unseen images of the fingerprint and/or the voice recording are correlated with images of other fingerprints and/or voice recordings from the subject, and/or images of fingerprints and/or voice recordings of family members of the subject to identify the subject.

Abstract: The present disclosure relates generally to determining confidence scores for facial image based family relation (e.g., kinship) determinations. A confidence score of a previously unseen facial image (of an unknown individual) search result is determined without knowing the search result's ground truth, based on previously conducted tests of a dataset with a known ground truth, and using prediction results to infer the confidence of the previously unseen example.