The invention discloses a self-adaptive automobile instrument detection method based on character segmentation cascaded quadratic classifier, relating to the automobile instrument pointer
visual detection technology field. In order to solve problems of a current instrument detection
system in the automobile instrument detection field, the self-adaptive automobile instrument detection method basedon character segmentation cascading performs threshold segmentation on an original image and performs analysis
processing on morphology and a connected domain, adopts a method based on couture
analysis method to finely extract pointers, establishes a pointer information
list, constructs a character segmentation cascading quadratic classifier consisting of an HOG / SVM quadratic classifier, a character filter and a CNN digital classifier which are connected in a cascaded mode, adopts the cascaded quadratic classifier to identify a number character area of the instrument, performs local analysis to extract scale points with the number character area as a center, determines a position of an angle corresponding to the scale point, establishes a Newton interpolation linear description relation between the instrument pointer angle and a response value and determines whether the instrument is qualified. The self-adaptive automobile instrument detection method based on the character segmentationcascaded quadratic classifier is applied to the automobile instrument pointer vision detection field.