Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
207 words
A method of detecting a disparity in a cyclic length of a pattern, comprising the steps of: moving a to-be-checked sheet on which predetermined patterns are cyclically printed in a longitudinal direction of travel; scanning said to-be-checked sheet by means for obtaining image data corresponding to the pattern; extracting from the image data output data representing an outline of the pattern; obtaining movement position data indicating different movement positions of said to-be-checked sheet; writing the outline data, extracted in the extracting step, into storage means as reference outline data; updating, for every cycle, the reference outline data stored in the storage means such that the reference outline data becomes outline data corresponding to a cycle which precedes a current cycle by at least one cycle in accordance with the movement position data; reading out the reference outline data from said storage means into a comparator; comparing current outline data corresponding to a current cycle with updated reference outline data read out from the storage means, in order to obtain a comparison result; and detecting a disparity in the cyclic length of the pattern from a correlation between the current outline data and the updated reference outline data, in accordance with the comparison result obtained by said comparator.
Claim 2
Independent Claim
207 words
A method of detecting a disparity in a cyclic length of a pattern, comprising the steps of: moving a to-be-checked sheet on which predetermined patterns are cyclically printed in a longitudinal direction of travel; scanning said to-be-checked sheet by means for obtaining image data corresponding to the pattern; extracting from the image data output data representing an outline of the pattern; obtaining movement position data indicating different movement positions of said to-be-checked sheet; writing the outline data, extracted in the extracting step, into storage means as reference outline data; updating, for every cycle, the reference outline data stored in the storage means such that the reference outline data becomes outline data corresponding to a cycle which precedes a current cycle by at least one cycle in accordance with the movement position data; reading out the reference outline data from said storage means into a comparator; comparing current outline data corresponding to a current cycle with updated reference outline data read out from the storage means, in order to obtain a comparison result; and detecting a disparity in the cyclic length of the pattern from a correlation between the current outline data and the updated reference outline data, in accordance with the comparison result obtained by said comparator.
Claim 3
Dependent Claim
80 words
A method according to claim 1, wherein said comparing step includes the substeps of: reading the current outline data as a plurality of suboutline data corresponding to the different movement positions, storing the suboutline data into substorage means, and comparing the suboutline data with the updated reference outline data, wherein the disparity detecting step comprises the substep of: determining a disparate amount of the cyclic length, in accordance with the suboutline data which coincide with the updated reference outline data.
Claim 4
Dependent Claim
45 words
A method according to claim 2, wherein the storing substep comprises the substep of: storing the suboutline data into a plurality of submemories, wherein the comparing step further comprises the substep of: comparing the suboutline data in said submemories with the updated reference outline data.
Claim 5
Dependent Claim
102 words
A method according to claim 1, wherein the comparing step comprises the substeps of: shifting a plurality of components of the current outline data and the updated reference outline data in accordance with the movement position data to obtain sequentially outline data components, and comparing sequentially the outline data components of the updated reference outline data with the outline data components of the current outline data, and wherein the disparity detecting step comprises the substep of: determining a disparate amount based on a number of coincidences between the outline data components of the current outline data and the updated reference outline data.
Claim 6
Independent Claim
199 words
An apparatus for detecting a disparity in a cyclic length of a pattern, said apparatus comprising: means for moving a to-be-checked sheet on which predetermined patterns are cyclically printed in a longitudinal direction of travel; means for scanning said to-be-checked sheet to output image data corresponding to the pattern; means for extracting from the image data outline data representing an outline of the pattern; means for outputting movement position data indicating different movement positions of said to-be-checked sheet; means for storing the outline data extracted by the extracting means as reference outline data; means for updating, for every cycle, the reference outline data stored in the storage means such that the reference outline data becomes outline data corresponding to a cycle which precedes a current cycle by at least one cycle; means for comparing current outline data corresponding to a current cycle with the updated reference outline data read out from the storing means, in order to obtain a comparison result; and means for detecting a disparity in a cyclic length of the pattern from a correlation between the current outline data and the updated reference outline data, in accordance with the comparison result obtained by said comparing means.
Claim 7
Independent Claim
199 words
An apparatus for detecting a disparity in a cyclic length of a pattern, said apparatus comprising: means for moving a to-be-checked sheet on which predetermined patterns are cyclically printed in a longitudinal direction of travel; means for scanning said to-be-checked sheet to output image data corresponding to the pattern; means for extracting from the image data outline data representing an outline of the pattern; means for outputting movement position data indicating different movement positions of said to-be-checked sheet; means for storing the outline data extracted by the extracting means as reference outline data; means for updating, for every cycle, the reference outline data stored in the storage means such that the reference outline data becomes outline data corresponding to a cycle which precedes a current cycle by at least one cycle; means for comparing current outline data corresponding to a current cycle with the updated reference outline data read out from the storing means, in order to obtain a comparison result; and means for detecting a disparity in a cyclic length of the pattern from a correlation between the current outline data and the updated reference outline data, in accordance with the comparison result obtained by said comparing means.
Claim 8
Dependent Claim
84 words
An apparatus according to claim 5, wherein said comparing means further comprises: means for reading the current outline data as a plurality of suboutline data corresponding to the different movement positions; additional storage means for storing the suboutline data; and additional comparison means for comparing the suboutline data with the updated reference outline data; wherein said disparity detecting means further comprises: means for determining a disparity in the cyclic length in accordance with the suboutline data which coincide with the updated reference outline data.
Claim 9
Dependent Claim
21 words
An apparatus according to claim 6, wherein the additional storage means has a plurality of memories for storing the suboutline data.
Claim 10
Dependent Claim
106 words
An apparatus according to claim 5, wherein said comparing means further comprises: means for shifting a plurality of components of the current outline data and the updated reference outline data in accordance with the movement position data so as to obtain sequentially outline data components, and means for comparing sequentially the outline data components of the updated reference outline data with the outline data components of the current outline data, and wherein said disparity detecting means further comprises: means for determining a disparate amount based on a number of coincidences between the outline data components of the current outline data and the updated reference outline data.