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At present, party organizations in vocational colleges have certain drawbacks in participation in decision-making. In order to improve the accuracy and scientific nature of participation in decision-making of party organization in vocational colleges, based on image text feature recognition technology, this paper constructs a support system for participation in decision-making of party organizations in party universities based on image text feature recognition. Moreover, this article uses image text feature extraction technology to perform data analysis and obtain reliable results through system analysis. In addition, this paper combines the DCT and pixel flip strategy methods to propose a dual-domain combination of multi-contour pixel flip text image feature recognition algorithm, improves the text feature recognition effect of party organization documents in vocational colleges, and enhances the robustness of text features in the case of visibility. Finally, this paper designs experiments to verify the performance of the model constructed in this paper. The research results show that the model constructed in this paper has a certain practical effect and can be applied to the decision-making of party organizations in vocational colleges.