Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: Systems and methods for processing payments using a dynamic security code are provided. A dynamic security code generator may generate one or more dynamic security codes and transmit the plurality of dynamic security codes to a portable consumer device. The portable consumer device may display the dynamic security code. A merchant may transmit a transaction request to the account authorization system including the dynamic security code in a card security code field. The account authorization system may compare the transaction account number and dynamic security code in the transaction request to a transaction account number and dynamic security code stored in a database. The account authorization system may transmit an authorization message to the merchant.

Abstract: One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' words and/or voice prints with known words and/or voice prints to identify any substantial matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract different words, such as words of anger. The system may also segment at least a portion of the customer's voice to create a tone profile, and it formats the segmented words and tone profiles for network transmission to a server. The server compares the customer's words and/or tone profiles with multiple known words and/or tone profiles stored on a database to determine any substantial matches. The identification of any matches may be used for a variety of purposes, such as providing representative feedback or customer follow-up.

Abstract: One-to-many comparisons of callers' voice prints with known voice prints to identify any matches between them. When a customer communicates with a particular entity, such as a customer service center, the system makes a recording of the real-time call including both the customer's and agent's voices. The system segments the recording to extract at least a portion of the customer's voice to create a customer voice print, and it formats the segmented voice print for network transmission to a server. The server compares the customer's voice print with multiple known voice prints to determine any matches, meaning that the customer's voice print and one of the known voice prints are likely from the same person. The identification of any matches can be used for a variety of purposes, such as determining whether to authorize a transaction requested by the customer.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: Systems and methods for processing payments using a dynamic security code are provided. An account authorization system may generate a plurality of dynamic security codes and transmit the plurality of dynamic security codes to a portable consumer device. The portable consumer device may generate a payment code comprising a transaction account number and a dynamic security code. A merchant may scan the payment code and transmit a transaction request to the account authorization system. The account authorization system may compare the transaction account number and dynamic security code in the transaction request to a transaction account number and dynamic security code stored in a database. The account authorization system may transmit an authorization message to the merchant.

Abstract: Systems and methods for processing payments using a dynamic security code are provided. An account authorization system may generate a plurality of dynamic security codes and transmit the plurality of dynamic security codes to a portable consumer device. The portable consumer device may generate a payment code comprising a transaction account number and a dynamic security code. A merchant may scan the payment code and transmit a transaction request to the account authorization system. The account authorization system may compare the transaction account number and dynamic security code in the transaction request to a transaction account number and dynamic security code stored in a database. The account authorization system may transmit an authorization message to the merchant.

Abstract: Systems and methods for processing payments using a dynamic security code are provided. A dynamic security code generator may generate one or more dynamic security codes and transmit the plurality of dynamic security codes to a portable consumer device. The portable consumer device may display the dynamic security code. A merchant transmit a transaction request to the account authorization system including the dynamic security code in a card security code field. The account authorization system may compare the transaction account number and dynamic security code in the transaction request to a transaction account number and dynamic security code stored in a database. The account authorization system may transmit an authorization message to the merchant.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.

Abstract: A consumer uses a web client to transmit purchase information associated with a transaction to a merchant server. The purchase information is transmitted via a web acceleration server. The web acceleration server identifies enhanced authorization data associated with the transaction. The web acceleration server creates a pseudo authorization message. The web acceleration server transmits the pseudo authorization message to a transaction account issuer. The merchant server transmits an authorization request to the transaction account issuer. The transaction account issuer determines that the authorization request and the pseudo authorization message are associated with the same transaction. The transaction account issuer merges the authorization request and the pseudo authorization message and performs a fraud analysis. The transaction account issuer transmits an authorization response to the merchant.