In this paper, we propose a new metric of evaluation for automatic summaries of texts in this case the adaptation of the F-measure that generates a hybrid method of evaluating an automatic summary at the same time: Extrinsic and Intrinsic. Our work follows the following methodology: we start by studying the feasibility of adaptation of the F-measure for the evaluation of automatic summarization; after that, we define how to calculate the F-measure for a candidate summary. Text is presented with a term vector can be either a word or a phrase (with a binary-weighted or occurrence). To Determine to the exactitude of evaluation F-measure for automatic summarization by extraction calculates correlation with ROUGE Evaluation.