Abstract: A method and system of signature verification that includes receiving a signature-in-question, extracting at least one of an image of the signature-in-question and a trajectory of the signature-in-question from the received signature-in-question, accessing a reference signature, extracting at least one of a reference image and a reference trajectory from the accessed reference signature, comparing the at least one of the image of the signature-in-question and trajectory of the signature-in-question to the at least one of the reference image and reference trajectory, and determining whether signature-in-question is authentic based on the comparison.

Abstract: A method and system of signature verification that includes receiving a signature-in-question, extracting at least one of an image of the signature-in-question and a trajectory of the signature-in-question from the received signature-in-question, accessing a reference signature, extracting at least one of a reference image and a reference trajectory from the accessed reference signature, comparing the at least one of the image of the signature-in-question and trajectory of the signature-in-question to the at least one of the reference image and reference trajectory, and determining whether signature-in-question is authentic based on the comparison.

Abstract: Disclosed are systems, methods, apparatuses, and computer readable media for quickly and efficiently providing individual-level scores that are serve as more-accurate predictions of a target event. These predictions are made using a model that factors specific variables based on transaction attributes gathered from transaction data for the individual, which may be exclusive to certain entities. These individual-level scores can be updated and periodically uploaded to an entity (e.g., a reporting agency) that can utilize existing infrastructure to quickly provide these scores to any requesters.

Abstract: Disclosed are systems, methods, apparatuses, and computer readable media for quickly and efficiently providing individual-level scores that are serve as more-accurate predictions of a target event. These predictions are made using a model that factors specific variables based on transaction attributes gathered from transaction data for the individual, which may be exclusive to certain entities. These individual-level scores can be updated and periodically uploaded to an entity (e.g., a reporting agency) that can utilize existing infrastructure to quickly provide these scores to any requesters.

Abstract: Systems and methods herein can compensate for higher demand on computing processing functions by changing required error rates for error-controlled processes. Thus, the systems and methods maintain an average error rate over a time division. By adjusting the error rate and throughput within different time subintervals of the time division, the systems and methods can maintain an average error rate for the complete time division but adjust the throughput during smaller portions the time division. In other words, while maintaining the amount of processing capacity, the length of the time division, and the average error rate over the time division, but changing the error rate in smaller portions of the time division, the systems and methods can adjust the amount of total throughput during high demand periods for the processing function.

Abstract: Systems and methods herein can compensate for higher demand on computing processing functions by changing required error rates for error-controlled processes. Thus, the systems and methods maintain an average error rate over a time division. By adjusting the error rate and throughput within different time subintervals of the time division, the systems and methods can maintain an average error rate for the complete time division but adjust the throughput during smaller portions the time division. In other words, while maintaining the amount of processing capacity, the length of the time division, and the average error rate over the time division, but changing the error rate in smaller portions of the time division, the systems and methods can adjust the amount of total throughput during high demand periods for the processing function.

Abstract: Exemplary embodiments are directed to cable storage devices and associated methods. The exemplary cable storage device includes at least one chamber and at least one chamber path. The at least one chamber path detachably secures at least one cable in the at least one chamber path. The at least one chamber is configured and dimensioned to have at least one of a spring-like property or a flexible property. An alternative exemplary cable storage device includes at least one chamber and at least one coupling member. The coupling member detachably secures at least one cable in the at least one chamber path and further includes a first coupler and a second coupler having at least one of a spring-like property or a flexible property. In alternative exemplary embodiments, methods of cable storage are provided.

Abstract: Exemplary embodiments are directed to cable storage devices and associated methods. The exemplary cable storage device includes at least one chamber and at least one chamber path. The at least one chamber path detachably secures at least one cable in the at least one chamber path. The at least one chamber is configured and dimensioned to have at least one of a spring-like property or a flexible property. An alternative exemplary cable storage device includes at least one chamber and at least one coupling member. The coupling member detachably secures at least one cable in the at least one chamber path and further includes a first coupler and a second coupler having at least one of a spring-like property or a flexible property. In alternative exemplary embodiments, methods of cable storage are provided.

Abstract: Methods and systems are disclosed to aid in the detection of areas of interest in an image. Multiple image recognition processes analyze the image and identify areas of interest. The identified areas of interest are compared to determine confidence values for each identified area of interest using a voting process. The confidence values may be used in determining areas of increased interest which are highlighted on the image. In embodiments, identified areas of interest meeting a certain threshold requirement are selected as areas of increased interest. In other embodiments, new areas of increased interest are created by combining areas of interest. Embodiments of the disclosed methods and system may be used to aid in the detection of cancer in mammogram images.

Abstract: Methods and systems are to facilitate the interaction between a user and a computer aided detection (“CAD”) system when identifying areas of interest in an image. The CAD system receives input from a user indicating areas of interest that the user perceives in the image. The input may include location information as well as additional information about the area of interest. The CAD system may then perform a voting process using the user provided areas of interest and one or more sets of areas of interest identified by at least one image recognition process to produce a final set of areas of interest in the image. The voting process is useful in eliminating false positives and false negatives that may have been identified by the user and/or the image recognition processes. Further embodiments disclosed herein provide methods and systems for training a voting process to complement a particular user.

Abstract: Methods and systems are disclosed to aid in the detection of areas of interest in an image. Multiple image recognition processes analyze the image and identify areas of interest. The identified areas of interest are compared to determine confidence values for each identified area of interest using a voting process. The confidence values may be used in determining areas of increased interest which are highlighted on the image. In embodiments, identified areas of interest meeting a certain threshold requirement are selected as areas of increased interest. In other embodiments, new areas of increased interest are created by combining areas of interest. Embodiments of the disclosed methods and system may be used to aid in the detection of cancer in mammogram images.

Abstract: In a combined holistic and analytic recognition system, a holistic recognition module recognizes an input word or phrase image by matching an input string of character features for the whole word or phrase against a string of prototype features for a plurality of reference words in a lexicon. This yields a holistic answer list of candidates for the input word or phrase. Based on each answer in the holistic answer list, the holistic recognition module creates segmentation hypotheses for each character in an answer. The analytical recognition module uses segmentation hypotheses from the holistic answer list to cut the image of the input string of characters into individual character images and to produce an analytical answer list. The holistic answer list and the analytic answer list are compared to find the best answer from the two lists.

Abstract: Methods and systems are disclosed for combining the results from multiple fraud detection devices into a single, ordered list of suspect items. The confidence value for each suspect item identified by each fraud detection process may be calculated. Calculated confidence values may be refined by resealing the confidence value. The confidence value of items from multiple lists may then be further refined using a voting process. Use of a voting process takes into account the determinations of each of the fraud detection processes in order to calculate or refine the confidence values associated with each suspect item. After conducting the voting process, the suspect items may be combined into a single suspect list. The new suspect list may be ordered by confidence values. Additionally, the expected loss of each item may be calculated for each suspect item. Suspect lists may also be ordered according to expected loss.

Abstract: Methods and systems are disclosed to aid in the detection of areas of interest in an image. Multiple image recognition processes analyze the image and identify areas of interest. The identified areas of interest are compared to determine confidence values for each identified area of interest using a voting process. The confidence values may be used in determining areas of increased interest which are highlighted on the image. In embodiments, identified areas of interest meeting a certain threshold requirement are selected as areas of increased interest. In other embodiments, new areas of increased interest are created by combining areas of interest. Embodiments of the disclosed methods and system may be used to aid in the detection of cancer in mammogram images.

Abstract: Methods for displaying various user interfaces are disclosed for use in conjunction with image analysis software. User interfaces disclosed identify areas of interest on an analyzed image. The identified areas of interest are correlated with a confidence value displayed on the image as well, giving the user an idea of the likelihood that an identified area of interest corresponds to an actual area of interest on the image. The disclosed user interfaces may also provide a tool to users which allow the user to set and reset a threshold value or values used in analyzing the image. The displayed areas of interest may change due to the user setting a custom threshold value.

Abstract: A check processing system for recognizing text on a check and processing the check using an interpretation for the recognized text is disclosed. The check processing system recognizes text on a check using a text recognition method wherein the text is compared to information entries in a customized recognition list stored in a restrictive lexicon. Thus, a process of creating restricted lexicons containing only customized recognition lists is disclosed. Like the text on the check, the information entries may be strings of characters, such as, without limitation, strings of numerical characters, alphabetic characters or a combination of alphabetic and numerical characters. Furthermore, the strings of characters for the text, as well as the information entries, may be a word or a phrase of words, such as payee names or memo categories. After the text is recognized, the check processing system processes the check using the interpretation by linking the check to the interpretation on an account statement.

Abstract: In a combined holistic and analytic recognition system, the holistic recognition module will recognize an input word or phrase image by matching an input string of character features for the whole word or phrase against a string of prototype features for a plurality of reference words in a lexicon. This will yield a holistic answer list of recognized word or phrase candidates for the input word or phrase along with a confidence value for each answer on the list. At the same time based on each answer in the answer list, the holistic recognition modules will generate a list of character features and segment the character features into sets for each character in an answer. The analytical recognition module uses segmentation hypotheses from the segmented character feature sets to cut the image of the input string of characters into individual character images.

Abstract: In a combined holistic and analytic recognition system, the holistic recognition module will recognize an input word or phrase image by matching an input string of character features for the whole word or phrase against a string of prototype features for a plurality of reference words in a lexicon. This will yield a holistic answer list of recognized word or phrase candidates for the input word or phrase along with a confidence value for each answer on the list. At the same time based on each answer in the answer list, the holistic recognition modules will generate a list of character features and segment the character features into sets for each character in an answer. The analytical recognition module uses segmentation hypotheses from the segmented character feature sets to cut the image of the input string of characters into individual character images.

Abstract: Information is provided to a point of sale system to assist a sales clerk in preventing a bank check having a fraudulent signature from being accepted at the point of sale. The check signature is scanned from the bank check and an account identifier is read from the bank check. A reference signature set associated with the account identifier is retrieved from the database. The check signature is compared against reference signatures in the reference signature set to verify the check signature and generate a signature confidence value based on how closely the check signature matches one or more of the reference signatures. The signature confidence value is tested against a predetermined value to accept or not accept the check signature. An accept check message is sent to the point of sale system if the act of testing verifies the check signature. The check signature is added to the reference signature set for the checking account identified by the check identifier if the check signature is verified.

Abstract: A check processing system for recognizing text on a check and processing the check using an interpretation for the recognized text is disclosed. The check processing system recognizes text on a check using a text recognition method wherein the text is compared to information entries in a customized recognition list stored in a restrictive lexicon. Thus, a process of creating restricted lexicons containing only customized recognition lists is disclosed. Like the text on the check, the information entries may be strings of characters, such as, without limitation, strings of numerical characters, alphabetic characters or a combination of alphabetic and numerical characters. Furthermore, the strings of characters for the text, as well as the information entries, may be a word or a phrase of words, such as payee names or memo categories. After the text is recognized, the check processing system processes the check using the interpretation by linking the check to the interpretation on an account statement.