International Business Machines Corporation

Xue Mei Deng

Ang Yi

Lu Huang

Lei Zhang

Rajesh M Desai

Yang Liang

Jun Hong Zhao

Hui Huang

Ye Qing Chen

Yin Qian

Nazrul Islam

Xiang Cai

Hai Cheng Wang

Dong Rui Li

Ya Juan Tong

Song Bai

In an approach, a processor identifies a plurality of text separators in a borderless table, a text separator of the plurality of text separators defining a non-text region between two consecutive text lines in the borderless table. A processor classifies the plurality of text separators into a number of target clusters comprised in a target group based on property information related to the plurality of text separators, the number of target clusters corresponding to a number of separator types. A processor provides indication information to indicate respective separator types of the plurality of text separators based on a result of the classifying.

Line item detection in borderless tabular structured data

A mechanism is provided for enhancing security access to a data processing system. Responsive to authenticating a first factor of the multi-factor authentication by matching a scanned fingerprint/thumbprint of a user to at least one previously scanned fingerprint/thumbprint in a set of previously scanned fingerprints/thumbprints, a determination is made as to whether a touch pressure level exerted by the user on a touch pressure sensor associated with the data processing system matches at least one previously stored touch pressure level in a set of previously stored touch pressure levels. Responsive to matching the touch pressure level exerted by the user to a previously stored touch pressure level in the set of previously stored touch pressure levels, a second factor of the multi-factor authentication is authenticated. Access is then granted for the user to the data processing system.

Enhanced security access

In an approach, data of a plurality of points is sampled in a target area, wherein the data of each point of the plurality of points comprises position information and a height value. A first area of a target area is determined, wherein the height value of each point of the plurality of points in the first area complies with a first range. A second area of the target area is determined, wherein the height value of each point of the plurality of points in the second area complies with a second range. A third area of the target area is determined, wherein the height value of each point of the plurality of points in the third area complies with a third range. A first pattern is generated, wherein the first pattern is a combination of the first area and the third area.

Recognition for overlapped patterns

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Beijing, China

Xue Mei Deng