Abstract: A method for enhancing detection of multimedia data generated using artificial intelligence is provided that includes the step of receiving, by an electronic device operated by a user, multimedia data. The multimedia data includes at least one of one or more images and voice data. Moreover, the method includes the step of analyzing, using a trained machine learning model, the one or more images for artifacts indicating the use of artificial intelligence in generating the one or more images, and determining, using a synthetic speech detection algorithm, whether the voice data includes artifacts indicating the use of artificial intelligence in generating the voice data. In response to determining the one or more images includes at least one artifact or the voice data includes at least one artifact, the multimedia data is determined to be fraudulent and originating from artificial intelligence generation.

Abstract: The present disclosure provides a method for determining the authenticity of an identity document that includes receiving, by an electronic device, an image of an identity document. The document image includes facial image data and personal data of a person associated with the identity document and an identity document number. Moreover, the method includes extracting the personal data and the document number from the identity document image. The extracted personal data includes at least a surname and the extracted identity document number includes groups of characters that represent personal data and information about an entity. Furthermore, the method includes decoding a first group of the characters using a soundex coding algorithm, identifying a surname that corresponds to the decoded first group of characters, comparing the identified surname against the surname in the extracted personal data, and determining the authenticity of the identity document using a result of the comparison.

Abstract: A method for enhancing detection of synthetic speech is provided that includes the step of receiving, by an electronic device, voice biometric data of a user captured while the user was speaking and analyzing the context in which the received voice biometric data was captured. The context includes environmental and situational factors. Moreover, the method includes the steps of analyzing characteristics of the received voice biometric data for anomalies associated with synthetic speech, generating a risk score based on the results of the analysis, and comparing the risk score against a threshold value. In response to determining the risk score fails to satisfy the threshold score, the method includes a step of determining the captured voice biometric data includes anomalies associated with synthetic speech and initiating an alert protocol.

Abstract: A method for enhancing detection of fraudulent data is provided that includes the step of analyzing, by an electronic device, voice biometric data captured while the user was speaking to determine whether the captured voice biometric data exhibits anomalies associated with fraudulent voice audio data. Moreover, the method includes the steps of analyzing circumstances under which the voice biometric data was captured, analyzing mannerisms of the user while the voice biometric data was captured, and calculating a risk score based on at least the results of the analyses. Furthermore, the method includes the steps of comparing the risk score against a threshold value, and in response to determining the risk score fails to satisfy the threshold value generating an alert having a risk level corresponding to the risk score.

Abstract: A method for enhancing detection of synthetic voice data is provided that includes converting, by an electronic device, monophonic voice data into stereophonic voice data. The stereophonic voice data includes a first channel signal and a second channel signal. Moreover, the method includes decomposing, by a trained machine learning model, the stereophonic voice data into a mid-signal and a side signal. The method also includes determining artifacts indicative of synthetic generation in the structured and secondary artifacts, calculating, based on the determined artifacts, a probability score reflecting the likelihood the monophonic voice data was synthetically generated, and comparing the probability score against a threshold value. When the probability score satisfies the threshold value, there is a high likelihood that the monophonic voice data includes synthetic artifacts, and an alert is generated indicating the monophonic voice data is potentially fraudulent.

Abstract: The present disclosure provides a method for determining the authenticity of an identity document that includes receiving, by an electronic device, an image of an identity document. The document image includes facial image data and personal data of a person associated with the identity document and an identity document number. Moreover, the method includes extracting the personal data and the document number from the identity document image. The extracted personal data includes at least a surname and the extracted identity document number includes groups of characters that represent personal data and information about an entity. Furthermore, the method includes decoding a first group of the characters using a soundex coding algorithm, identifying a surname that corresponds to the decoded first group of characters, comparing the identified surname against the surname in the extracted personal data, and determining the authenticity of the identity document using a result of the comparison.

Abstract: A method for enhancing detection of a fraudulent identity document in an image is provided that includes receiving, by an electronic device, an image of an identity document associated with a user including at least one background object. The method also includes determining the size and orientation of the at least one background object based on the received image, extracting information about the received image from the received image, and extracting information from the received image about a capture device that captured the received image. Each of the size and orientation of the at least one background object, the extracted received image data information, and the extracted capture device information is compared against corresponding information in record data of the user. A similarity score is calculated for each comparison. When each similarity score satisfies a threshold value, the identity document in the received image is deemed to be fraudulent.

Abstract: A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

Abstract: A method for enhancing liveness detection of image data is provided that includes receiving image data of a person and using multi-resolution convolution and octave convolution techniques to extract first and second frequency components from the received image data. The method also includes comparing the first frequency component against data in a first frequency map and comparing the second frequency component against data in a second frequency map. Furthermore, the method includes determining whether the first frequency component satisfies matching criteria with data in the first frequency map and determining whether the second frequency component satisfies matching criteria with data in the second frequency map. In response to determining the first and second frequency components fail to satisfy the data in the respective frequency map, the method concludes that the received image data was not taken of a live person.

Abstract: A method for enhancing user liveness detection is provided that includes receiving image data of a user that includes items of metadata. Moreover, the method includes comparing each item of metadata associated with the received image data against a corresponding item of metadata associated with record image data of the user, and determining whether each item of metadata associated with the received image data matches the corresponding item of metadata. In response to determining at least one item of metadata associated with the received image data does not match the corresponding item of metadata, the method deems the received image data to be genuine and from a live person. In response to determining all items of metadata associated with the received image match the corresponding item of metadata, the method deems the received image data to be fraudulent and not from a living person.

Abstract: A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document, determining a class of the identity document, and extracting, using multi-resolution convolution and octave convolution techniques, first and second frequency components from the captured image data. The first and second frequency components correspond to different spatial frequency ranges. Moreover, the method includes determining whether the first and second frequency components satisfy matching criteria with data in corresponding frequency maps. The frequency maps are created from verified documents belonging to the determined class of document. In response to determining at least one of the first and second frequency components satisfies the matching criteria, determining the identity document is genuine.

Abstract: A method for determining the authenticity of an identity document is provided that includes the steps of capturing, by an electronic device, image data of a PDF417 barcode, where the PDF417 barcode is located on an identity document including textual data. Moreover, the method includes the steps of extracting data from the PDF417 barcode, determining a class to which the identity document belongs using the extracted data, and identifying in the extracted data, data unique to the determined class. The unique data is in addition to the textual data. Furthermore, the method includes the steps of comparing the identified unique data against unique data of any authenticated identity document belonging to the determined class, calculating an authenticity score based on the comparison, and determining the identity document is authentic in response to determining the authenticity score satisfies a threshold score.

Abstract: A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

Abstract: A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

Abstract: The present solution is directed to methods and systems for storing personal identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The personal identifiable information can be useful in processes such as client enrollment, mobile device management, identification processes, and transaction audits. However, the data can be a target for bad actors. The present solution includes a one-way hashing and cryptographic function that converts unique personal identifiable information into a unique digest which can be securely stored on a mobile device and rendered as an original state digital image for proof of ID.

Abstract: The present disclosure describes methods and systems for handling personally identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The system includes a one-way hashing function that converts unique personal identifiable information into a unique digest. The system can store the digest without having to store the personal identifiable information. Because the hashing function generates the same digest when given the same input, the digests can be used as anonymized identifiers in place of the personal identifiable information.

Abstract: The present disclosure describes methods and systems for handling personally identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The system includes a one-way hashing function that converts unique personal identifiable information into a unique digest. The system can store the digest without having to store the personal identifiable information. Because the hashing function generates the same digest when given the same input, the digests can be used as anonymized identifiers in place of the personal identifiable information.

Abstract: The present disclosure describes methods and systems for handling personal identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The system includes a one-way hashing function that converts unique personal identifiable information into a unique digest. The system can store the digest without having to store the personal identifiable information. Because the hashing function generates the same digest when given the same input, the digests can be used as anonymized identifiers in place of the personal identifiable information.

Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.

Abstract: The present disclosure describes a method to determine whether a physical identification document is authentic. An authentication manager receives an image of a physical identification document to be authenticated. The authentication manager extracts a set of characteristics of the document from the image. The authentication manager determines a class of the document based on the set of characteristics. The authentication manager applies a convolution kernel, convolving the image with the kernel to generate a feature map. The authentication manager determines a score based on the feature map, where the score identifies the likelihood that the document is valid. The authentication manager then provides an indication that the physical document is authentic based on the score.