Infosys Limited

Sivaram Vargheese Thangam

Harikrishna Gandhinagara Narayana Rai

Krishnamurthy Sai Deepak

Radha Krishna Pisipati

Pranav Prabhakar Mirajkar

Sunil Arora

A method and system masks sensitive fields on a cheque image based one or more access privileges assigned to a user. The method involves receiving a cheque image at a cheque masking engine. A cheque template from one or more cheque templates is selected based on metadata associated with the cheque image. One or more zones of sensitive information associated with the cheque image are identified based on the one or more access privileges assigned to the user and a comparison with the selected cheque template. One or more characters are extracted from the one or more zones of sensitive information. The extracted one or more characters are aliased based on an aliasing rule. Another cheque image is generated by overlaying the one or more zones of sensitive information with the aliased one or more characters.

Method and system for masking of cheque image based on user access privileges

The disclosed embodiment relates to methods for measuring camber on a surface. The method preferably comprises receiving, by a computing device, a plurality of images of a surface, identifying, by a computing device, a key image of the surface from the plurality of images, extracting, by a computing device, a portion of the key image including the surface, and analyzing, by a computing device, the extracted portion of the key image to thereby determine the camber on the surface. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods.

System and method for measuring camber on a surface

A system and method for modeling a region segmented image is described. Aspects of the present invention may include the generation of a computer model that models the region segmented image, the computer model comprising one or more nodes, wherein each node in the one or more nodes represents an arbitrarily shaped region present in the region segmented image, and each of the arbitrarily shaped regions comprises an image segment wherein the image segment is an indivisible partition in the region segmented image. The model may additionally comprise one or more logical nodes, wherein each logical node represents an image region formed by the union of two or more arbitrarily shaped image regions in the region segmented image that exhibit at least one type of spatial relationship and a hierarchical graph representation of the region segmented image. Types of spatial relationships may include hierarchical, adjacent and cohesive spatial relationships.

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Kappukadu, India

Sivaram Vargheese Thangam