In this paper will be presented new opportunities for developing innovative solutions for semantic pattern classification
and visual cryptography, which will base on cognitive and bio-inspired approaches. Such techniques can be used for
evaluation of the meaning of analyzed patterns or encrypted information, and allow to involve such meaning into the
classification task or encryption process. It also allows using some crypto-biometric solutions to extend personalized
cryptography methodologies based on visual pattern analysis. In particular application of cognitive information systems
for semantic analysis of different patterns will be presented, and also a novel application of such systems for visual secret
sharing will be described. Visual shares for divided information can be created based on threshold procedure, which may
be dependent on personal abilities to recognize some image details visible on divided images.
In this paper will be presented classification of new cognitive information systems dedicated to cryptographic data
splitting and sharing processes. Cognitive processes of semantic data analysis and interpretation, will be used to describe
new classes of intelligent information and vision systems. In addition, cryptographic data splitting algorithms and
cryptographic threshold schemes will be used to improve processes of secure and efficient information management with
application of such cognitive systems. The utility of the proposed cognitive sharing procedures and distributed data
sharing algorithms will be also presented. A few possible application of cognitive approaches for visual information
management and encryption will be also described.